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Diffstat (limited to 'drivers/staging/media/atomisp/pci/atomisp2/css2400/hive_isp_css_include/host/ref_vector_func.h')
| -rw-r--r-- | drivers/staging/media/atomisp/pci/atomisp2/css2400/hive_isp_css_include/host/ref_vector_func.h | 1221 |
1 files changed, 0 insertions, 1221 deletions
diff --git a/drivers/staging/media/atomisp/pci/atomisp2/css2400/hive_isp_css_include/host/ref_vector_func.h b/drivers/staging/media/atomisp/pci/atomisp2/css2400/hive_isp_css_include/host/ref_vector_func.h deleted file mode 100644 index c1638c06407d..000000000000 --- a/drivers/staging/media/atomisp/pci/atomisp2/css2400/hive_isp_css_include/host/ref_vector_func.h +++ /dev/null @@ -1,1221 +0,0 @@ -/* - * Support for Intel Camera Imaging ISP subsystem. - * Copyright (c) 2015, Intel Corporation. - * - * This program is free software; you can redistribute it and/or modify it - * under the terms and conditions of the GNU General Public License, - * version 2, as published by the Free Software Foundation. - * - * This program is distributed in the hope it will be useful, but WITHOUT - * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or - * FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for - * more details. - */ - -#ifndef _REF_VECTOR_FUNC_H_INCLUDED_ -#define _REF_VECTOR_FUNC_H_INCLUDED_ - - -#ifdef INLINE_VECTOR_FUNC -#define STORAGE_CLASS_REF_VECTOR_FUNC_H static inline -#define STORAGE_CLASS_REF_VECTOR_DATA_H static inline_DATA -#else /* INLINE_VECTOR_FUNC */ -#define STORAGE_CLASS_REF_VECTOR_FUNC_H extern -#define STORAGE_CLASS_REF_VECTOR_DATA_H extern_DATA -#endif /* INLINE_VECTOR_FUNC */ - - -#include "ref_vector_func_types.h" - -/* @brief Doubling multiply accumulate with saturation - * - * @param[in] acc accumulator - * @param[in] a multiply input - * @param[in] b multiply input - * - * @return acc + (a*b) - * - * This function will do a doubling multiply ont - * inputs a and b, and will add the result to acc. - * in case of an overflow of acc, it will saturate. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector2w OP_1w_maccd_sat( - tvector2w acc, - tvector1w a, - tvector1w b ); - -/* @brief Doubling multiply accumulate - * - * @param[in] acc accumulator - * @param[in] a multiply input - * @param[in] b multiply input - * - * @return acc + (a*b) - * - * This function will do a doubling multiply ont - * inputs a and b, and will add the result to acc. - * in case of overflow it will not saturate but wrap around. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector2w OP_1w_maccd( - tvector2w acc, - tvector1w a, - tvector1w b ); - -/* @brief Re-aligning multiply - * - * @param[in] a multiply input - * @param[in] b multiply input - * @param[in] shift shift amount - * - * @return (a*b)>>shift - * - * This function will multiply a with b, followed by a right - * shift with rounding. the result is saturated and casted - * to single precision. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_mul_realigning( - tvector1w a, - tvector1w b, - tscalar1w shift ); - -/* @brief Leading bit index - * - * @param[in] a input - * - * @return index of the leading bit of each element - * - * This function finds the index of leading one (set) bit of the - * input. The index starts with 0 for the LSB and can go upto - * ISP_VEC_ELEMBITS-1 for the MSB. For an input equal to zero, - * the returned index is -1. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_lod( - tvector1w a); - -/* @brief Config Unit Input Processing - * - * @param[in] a input - * @param[in] input_scale input scaling factor - * @param[in] input_offset input offset factor - * - * @return scaled & offset added input clamped to MAXVALUE - * - * As part of input processing for piecewise linear estimation config unit, - * this function will perform scaling followed by adding offset and - * then clamping to the MAX InputValue - * It asserts -MAX_SHIFT_1W <= input_scale <= MAX_SHIFT_1W, and - * -MAX_SHIFT_1W <= input_offset <= MAX_SHIFT_1W - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_input_scaling_offset_clamping( - tvector1w a, - tscalar1w_5bit_signed input_scale, - tscalar1w_5bit_signed input_offset); - -/* @brief Config Unit Output Processing - * - * @param[in] a output - * @param[in] output_scale output scaling factor - * - * @return scaled & clamped output value - * - * As part of output processing for piecewise linear estimation config unit, - * This function will perform scaling and then clamping to output - * MAX value. - * It asserts -MAX_SHIFT_1W <= output_scale <= MAX_SHIFT_1W - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_output_scaling_clamping( - tvector1w a, - tscalar1w_5bit_signed output_scale); - -/* @brief Config Unit Piecewiselinear estimation - * - * @param[in] a input - * @param[in] config_points config parameter structure - * - * @return piecewise linear estimated output - * - * Given a set of N points {(x1,y1),()x2,y2), ....,(xn,yn)}, to find - * the functional value at an arbitrary point around the input set, - * this function will perform input processing followed by piecewise - * linear estimation and then output processing to yield the final value. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_piecewise_estimation( - tvector1w a, - ref_config_points config_points); - -/* @brief Fast Config Unit - * - * @param[in] x input - * @param[in] init_vectors LUT data structure - * - * @return piecewise linear estimated output - * This block gets an input x and a set of input configuration points stored in a look-up - * table of 32 elements. First, the x input is clipped to be within the range [x1, xn+1]. - * Then, it computes the interval in which the input lies. Finally, the output is computed - * by performing linear interpolation based on the interval properties (i.e. x_prev, slope, - * and offset). This block assumes that the points are equally spaced and that the interval - * size is a power of 2. - **/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_XCU( - tvector1w x, - xcu_ref_init_vectors init_vectors); - - -/* @brief LXCU - * - * @param[in] x input - * @param[in] init_vectors LUT data structure - * - * @return logarithmic piecewise linear estimated output. - * This block gets an input x and a set of input configuration points stored in a look-up - * table of 32 elements. It computes the interval in which the input lies. - * Then output is computed by performing linear interpolation based on the interval - * properties (i.e. x_prev, slope, * and offset). - * This BBB assumes spacing x-coordinates of "init vectors" increase exponentially as - * shown below. - * interval size : 2^0 2^1 2^2 2^3 - * x-coordinates: x0<--->x1<---->x2<---->x3<----> - **/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_LXCU( - tvector1w x, - xcu_ref_init_vectors init_vectors); - -/* @brief Coring - * - * @param[in] coring_vec Amount of coring based on brightness level - * @param[in] filt_input Vector of input pixels on which Coring is applied - * @param[in] m_CnrCoring0 Coring Level0 - * - * @return vector of filtered pixels after coring is applied - * - * This function will perform adaptive coring based on brightness level to - * remove noise - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w coring( - tvector1w coring_vec, - tvector1w filt_input, - tscalar1w m_CnrCoring0 ); - -/* @brief Normalised FIR with coefficients [3,4,1] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [3,4,1], - *-5dB at Fs/2, -90 degree phase shift (quarter pixel) - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_5dB_m90_nrm ( - const s_1w_1x3_matrix m); - -/* @brief Normalised FIR with coefficients [1,4,3] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1,4,3], - *-5dB at Fs/2, +90 degree phase shift (quarter pixel) - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_5dB_p90_nrm ( - const s_1w_1x3_matrix m); - -/* @brief Normalised FIR with coefficients [1,2,1] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1,2,1], -6dB at Fs/2 - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_6dB_nrm ( - const s_1w_1x3_matrix m); - -/* @brief Normalised FIR with coefficients [13,16,3] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [13,16,3], - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_6dB_nrm_ph0 ( - const s_1w_1x3_matrix m); - -/* @brief Normalised FIR with coefficients [9,16,7] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [9,16,7], - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_6dB_nrm_ph1 ( - const s_1w_1x3_matrix m); - -/* @brief Normalised FIR with coefficients [5,16,11] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [5,16,11], - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_6dB_nrm_ph2 ( - const s_1w_1x3_matrix m); - -/* @brief Normalised FIR with coefficients [1,16,15] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1,16,15], - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_6dB_nrm_ph3 ( - const s_1w_1x3_matrix m); - -/* @brief Normalised FIR with programable phase shift - * - * @param[in] m 1x3 matrix with pixels - * @param[in] coeff phase shift - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [8-coeff,16,8+coeff], - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_6dB_nrm_calc_coeff ( - const s_1w_1x3_matrix m, tscalar1w_3bit coeff); - -/* @brief 3 tap FIR with coefficients [1,1,1] - * - * @param[in] m 1x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * FIR with coefficients [1,1,1], -9dB at Fs/2 normalized with factor 1/2 - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x3m_9dB_nrm ( - const s_1w_1x3_matrix m); - -#ifdef ISP2401 -/* @brief symmetric 3 tap FIR acts as LPF or BSF - * - * @param[in] m 1x3 matrix with pixels - * @param[in] k filter coefficient shift - * @param[in] bsf_flag 1 for BSF and 0 for LPF - * - * @return filtered output - * - * This function performs variable coefficient symmetric 3 tap filter which can - * be either used as Low Pass Filter or Band Stop Filter. - * Symmetric 3tap tap filter with DC gain 1 has filter coefficients [a, 1-2a, a] - * For LPF 'a' can be approximated as (1 - 2^(-k))/4, k = 0, 1, 2, ... - * and filter output can be approximated as: - * out_LPF = ((v00 + v02) - ((v00 + v02) >> k) + (2 * (v01 + (v01 >> k)))) >> 2 - * For BSF 'a' can be approximated as (1 + 2^(-k))/4, k = 0, 1, 2, ... - * and filter output can be approximated as: - * out_BSF = ((v00 + v02) + ((v00 + v02) >> k) + (2 * (v01 - (v01 >> k)))) >> 2 - * For a given filter coefficient shift 'k' and bsf_flag this function - * behaves either as LPF or BSF. - * All computation is done using 1w arithmetic and implementation does not use - * any multiplication. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -sym_fir1x3m_lpf_bsf(s_1w_1x3_matrix m, - tscalar1w k, - tscalar_bool bsf_flag); -#endif - -/* @brief Normalised 2D FIR with coefficients [1;2;1] * [1,2,1] - * - * @param[in] m 3x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1;2;1] * [1,2,1] - * Unity gain filter through repeated scaling and rounding - * - 6 rotate operations per output - * - 8 vector operations per output - * _______ - * 14 total operations - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir3x3m_6dB_nrm ( - const s_1w_3x3_matrix m); - -/* @brief Normalised 2D FIR with coefficients [1;1;1] * [1,1,1] - * - * @param[in] m 3x3 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1;1;1] * [1,1,1] - * - * (near) Unity gain filter through repeated scaling and rounding - * - 6 rotate operations per output - * - 8 vector operations per output - * _______ - * 14 operations - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir3x3m_9dB_nrm ( - const s_1w_3x3_matrix m); - -/* @brief Normalised dual output 2D FIR with coefficients [1;2;1] * [1,2,1] - * - * @param[in] m 4x3 matrix with pixels - * - * @return two filtered outputs (2x1 matrix) - * - * This function will calculate the - * Normalised FIR with coefficients [1;2;1] * [1,2,1] - * and produce two outputs (vertical) - * Unity gain filter through repeated scaling and rounding - * compute two outputs per call to re-use common intermediates - * - 4 rotate operations per output - * - 6 vector operations per output (alternative possible, but in this - * form it's not obvious to re-use variables) - * _______ - * 10 total operations - */ - STORAGE_CLASS_REF_VECTOR_FUNC_H s_1w_2x1_matrix fir3x3m_6dB_out2x1_nrm ( - const s_1w_4x3_matrix m); - -/* @brief Normalised dual output 2D FIR with coefficients [1;1;1] * [1,1,1] - * - * @param[in] m 4x3 matrix with pixels - * - * @return two filtered outputs (2x1 matrix) - * - * This function will calculate the - * Normalised FIR with coefficients [1;1;1] * [1,1,1] - * and produce two outputs (vertical) - * (near) Unity gain filter through repeated scaling and rounding - * compute two outputs per call to re-use common intermediates - * - 4 rotate operations per output - * - 7 vector operations per output (alternative possible, but in this - * form it's not obvious to re-use variables) - * _______ - * 11 total operations - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H s_1w_2x1_matrix fir3x3m_9dB_out2x1_nrm ( - const s_1w_4x3_matrix m); - -/* @brief Normalised 2D FIR 5x5 - * - * @param[in] m 5x5 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1;1;1] * [1;2;1] * [1,2,1] * [1,1,1] - * and produce a filtered output - * (near) Unity gain filter through repeated scaling and rounding - * - 20 rotate operations per output - * - 28 vector operations per output - * _______ - * 48 total operations -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir5x5m_15dB_nrm ( - const s_1w_5x5_matrix m); - -/* @brief Normalised FIR 1x5 - * - * @param[in] m 1x5 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1,2,1] * [1,1,1] = [1,4,6,4,1] - * and produce a filtered output - * (near) Unity gain filter through repeated scaling and rounding - * - 4 rotate operations per output - * - 5 vector operations per output - * _______ - * 9 total operations -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x5m_12dB_nrm ( - const s_1w_1x5_matrix m); - -/* @brief Normalised 2D FIR 5x5 - * - * @param[in] m 5x5 matrix with pixels - * - * @return filtered output - * - * This function will calculate the - * Normalised FIR with coefficients [1;2;1] * [1;2;1] * [1,2,1] * [1,2,1] - * and produce a filtered output - * (near) Unity gain filter through repeated scaling and rounding - * - 20 rotate operations per output - * - 30 vector operations per output - * _______ - * 50 total operations -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir5x5m_12dB_nrm ( - const s_1w_5x5_matrix m); - -/* @brief Approximate averaging FIR 1x5 - * - * @param[in] m 1x5 matrix with pixels - * - * @return filtered output - * - * This function will produce filtered output by - * applying the filter coefficients (1/8) * [1,1,1,1,1] - * _______ - * 5 vector operations -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x5m_box ( - s_1w_1x5_matrix m); - -/* @brief Approximate averaging FIR 1x9 - * - * @param[in] m 1x9 matrix with pixels - * - * @return filtered output - * - * This function will produce filtered output by - * applying the filter coefficients (1/16) * [1,1,1,1,1,1,1,1,1] - * _______ - * 9 vector operations -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x9m_box ( - s_1w_1x9_matrix m); - -/* @brief Approximate averaging FIR 1x11 - * - * @param[in] m 1x11 matrix with pixels - * - * @return filtered output - * - * This function will produce filtered output by - * applying the filter coefficients (1/16) * [1,1,1,1,1,1,1,1,1,1,1] - * _______ - * 12 vector operations -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w fir1x11m_box ( - s_1w_1x11_matrix m); - -/* @brief Symmetric 7 tap filter with normalization - * - * @param[in] in 1x7 matrix with pixels - * @param[in] coeff 1x4 matrix with coefficients - * @param[in] out_shift output pixel shift value for normalization - * - * @return symmetric 7 tap filter output - * - * This function performs symmetric 7 tap filter over input pixels. - * Filter sum is normalized by shifting out_shift bits. - * Filter sum: p0*c3 + p1*c2 + p2*c1 + p3*c0 + p4*c1 + p5*c2 + p6*c3 - * is implemented as: (p0 + p6)*c3 + (p1 + p5)*c2 + (p2 + p4)*c1 + p3*c0 to - * reduce multiplication. - * Input pixels should to be scaled, otherwise overflow is possible during - * addition -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x7m_sym_nrm(s_1w_1x7_matrix in, - s_1w_1x4_matrix coeff, - tvector1w out_shift); - -/* @brief Symmetric 7 tap filter with normalization at input side - * - * @param[in] in 1x7 matrix with pixels - * @param[in] coeff 1x4 matrix with coefficients - * - * @return symmetric 7 tap filter output - * - * This function performs symmetric 7 tap filter over input pixels. - * Filter sum: p0*c3 + p1*c2 + p2*c1 + p3*c0 + p4*c1 + p5*c2 + p6*c3 - * = (p0 + p6)*c3 + (p1 + p5)*c2 + (p2 + p4)*c1 + p3*c0 - * Input pixels and coefficients are in Qn format, where n = - * ISP_VEC_ELEMBITS - 1 (ie Q15 for Broxton) - * To avoid double precision arithmetic input pixel sum and final sum is - * implemented using avgrnd and coefficient multiplication using qrmul. - * Final result is in Qm format where m = ISP_VEC_ELEMBITS - 2 (ie Q14 for - * Broxton) -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x7m_sym_innrm_approx(s_1w_1x7_matrix in, - s_1w_1x4_matrix coeff); - -/* @brief Symmetric 7 tap filter with normalization at output side - * - * @param[in] in 1x7 matrix with pixels - * @param[in] coeff 1x4 matrix with coefficients - * - * @return symmetric 7 tap filter output - * - * This function performs symmetric 7 tap filter over input pixels. - * Filter sum: p0*c3 + p1*c2 + p2*c1 + p3*c0 + p4*c1 + p5*c2 + p6*c3 - * = (p0 + p6)*c3 + (p1 + p5)*c2 + (p2 + p4)*c1 + p3*c0 - * Input pixels are in Qn and coefficients are in Qm format, where n = - * ISP_VEC_ELEMBITS - 2 and m = ISP_VEC_ELEMBITS - 1 (ie Q14 and Q15 - * respectively for Broxton) - * To avoid double precision arithmetic input pixel sum and final sum is - * implemented using addsat and coefficient multiplication using qrmul. - * Final sum is left shifted by 2 and saturated to produce result is Qm format - * (ie Q15 for Broxton) -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x7m_sym_outnrm_approx(s_1w_1x7_matrix in, - s_1w_1x4_matrix coeff); - -/* @brief 4 tap filter with normalization - * - * @param[in] in 1x4 matrix with pixels - * @param[in] coeff 1x4 matrix with coefficients - * @param[in] out_shift output pixel shift value for normalization - * - * @return 4 tap filter output - * - * This function performs 4 tap filter over input pixels. - * Filter sum is normalized by shifting out_shift bits. - * Filter sum: p0*c0 + p1*c1 + p2*c2 + p3*c3 -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x4m_nrm(s_1w_1x4_matrix in, - s_1w_1x4_matrix coeff, - tvector1w out_shift); - -/* @brief 4 tap filter with normalization for half pixel interpolation - * - * @param[in] in 1x4 matrix with pixels - * - * @return 4 tap filter output with filter tap [-1 9 9 -1]/16 - * - * This function performs 4 tap filter over input pixels. - * Filter sum: -p0 + 9*p1 + 9*p2 - p3 - * This filter implementation is completely free from multiplication and double - * precision arithmetic. - * Typical usage of this filter is to half pixel interpolation of Bezier - * surface - * */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x4m_bicubic_bezier_half(s_1w_1x4_matrix in); - -/* @brief 4 tap filter with normalization for quarter pixel interpolation - * - * @param[in] in 1x4 matrix with pixels - * @param[in] coeff 1x4 matrix with coefficients - * - * @return 4 tap filter output - * - * This function performs 4 tap filter over input pixels. - * Filter sum: p0*c0 + p1*c1 + p2*c2 + p3*c3 - * To avoid double precision arithmetic we implemented multiplication using - * qrmul and addition using avgrnd. Coefficients( c0 to c3) formats are assumed - * to be: Qm, Qn, Qo, Qm, where m = n + 2 and o = n + 1. - * Typical usage of this filter is to quarter pixel interpolation of Bezier - * surface with filter coefficients:[-9 111 29 -3]/128. For which coefficient - * values should be: [-9216/2^17 28416/2^15 1484/2^16 -3072/2^17] for - * ISP_VEC_ELEMBITS = 16. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x4m_bicubic_bezier_quarter(s_1w_1x4_matrix in, - s_1w_1x4_matrix coeff); - - -/* @brief Symmetric 3 tap filter with normalization - * - * @param[in] in 1x3 matrix with pixels - * @param[in] coeff 1x2 matrix with coefficients - * @param[in] out_shift output pixel shift value for normalization - * - * @return symmetric 3 tap filter output - * - * This function performs symmetric 3 tap filter input pixels. - * Filter sum is normalized by shifting out_shift bits. - * Filter sum: p0*c1 + p1*c0 + p2*c1 - * is implemented as: (p0 + p2)*c1 + p1*c0 to reduce multiplication. - * Input pixels should to be scaled, otherwise overflow is possible during - * addition -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x3m_sym_nrm(s_1w_1x3_matrix in, - s_1w_1x2_matrix coeff, - tvector1w out_shift); - -/* @brief Symmetric 3 tap filter with normalization - * - * @param[in] in 1x3 matrix with pixels - * @param[in] coeff 1x2 matrix with coefficients - * - * @return symmetric 3 tap filter output - * - * This function performs symmetric 3 tap filter over input pixels. - * Filter sum: p0*c1 + p1*c0 + p2*c1 = (p0 + p2)*c1 + p1*c0 - * Input pixels are in Qn and coefficient c0 is in Qm and c1 is in Qn format, - * where n = ISP_VEC_ELEMBITS - 1 and m = ISP_VEC_ELEMBITS - 2 ( ie Q15 and Q14 - * respectively for Broxton) - * To avoid double precision arithmetic input pixel sum is implemented using - * avgrnd, coefficient multiplication using qrmul and final sum using addsat - * Final sum is Qm format (ie Q14 for Broxton) -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -fir1x3m_sym_nrm_approx(s_1w_1x3_matrix in, - s_1w_1x2_matrix coeff); - -/* @brief Mean of 1x3 matrix - * - * @param[in] m 1x3 matrix with pixels - * - * @return mean of 1x3 matrix - * - * This function calculates the mean of 1x3 pixels, - * with a factor of 4/3. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean1x3m( - s_1w_1x3_matrix m); - -/* @brief Mean of 3x3 matrix - * - * @param[in] m 3x3 matrix with pixels - * - * @return mean of 3x3 matrix - * - * This function calculates the mean of 3x3 pixels, - * with a factor of 16/9. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean3x3m( - s_1w_3x3_matrix m); - -/* @brief Mean of 1x4 matrix - * - * @param[in] m 1x4 matrix with pixels - * - * @return mean of 1x4 matrix - * - * This function calculates the mean of 1x4 pixels -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean1x4m( - s_1w_1x4_matrix m); - -/* @brief Mean of 4x4 matrix - * - * @param[in] m 4x4 matrix with pixels - * - * @return mean of 4x4 matrix - * - * This function calculates the mean of 4x4 matrix with pixels -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean4x4m( - s_1w_4x4_matrix m); - -/* @brief Mean of 2x3 matrix - * - * @param[in] m 2x3 matrix with pixels - * - * @return mean of 2x3 matrix - * - * This function calculates the mean of 2x3 matrix with pixels - * with a factor of 8/6. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean2x3m( - s_1w_2x3_matrix m); - -/* @brief Mean of 1x5 matrix - * - * @param[in] m 1x5 matrix with pixels - * - * @return mean of 1x5 matrix - * - * This function calculates the mean of 1x5 matrix with pixels - * with a factor of 8/5. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean1x5m(s_1w_1x5_matrix m); - -/* @brief Mean of 1x6 matrix - * - * @param[in] m 1x6 matrix with pixels - * - * @return mean of 1x6 matrix - * - * This function calculates the mean of 1x6 matrix with pixels - * with a factor of 8/6. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean1x6m( - s_1w_1x6_matrix m); - -/* @brief Mean of 5x5 matrix - * - * @param[in] m 5x5 matrix with pixels - * - * @return mean of 5x5 matrix - * - * This function calculates the mean of 5x5 matrix with pixels - * with a factor of 32/25. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean5x5m( - s_1w_5x5_matrix m); - -/* @brief Mean of 6x6 matrix - * - * @param[in] m 6x6 matrix with pixels - * - * @return mean of 6x6 matrix - * - * This function calculates the mean of 6x6 matrix with pixels - * with a factor of 64/36. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w mean6x6m( - s_1w_6x6_matrix m); - -/* @brief Minimum of 4x4 matrix - * - * @param[in] m 4x4 matrix with pixels - * - * @return minimum of 4x4 matrix - * - * This function calculates the minimum of - * 4x4 matrix with pixels. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w min4x4m( - s_1w_4x4_matrix m); - -/* @brief Maximum of 4x4 matrix - * - * @param[in] m 4x4 matrix with pixels - * - * @return maximum of 4x4 matrix - * - * This function calculates the maximum of - * 4x4 matrix with pixels. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w max4x4m( - s_1w_4x4_matrix m); - -/* @brief SAD between two 3x3 matrices - * - * @param[in] a 3x3 matrix with pixels - * - * @param[in] b 3x3 matrix with pixels - * - * @return 3x3 matrix SAD - * - * This function calculates the sum of absolute difference between two matrices. - * Both input pixels and SAD are normalized by a factor of SAD3x3_IN_SHIFT and - * SAD3x3_OUT_SHIFT respectively. - * Computed SAD is 1/(2 ^ (SAD3x3_IN_SHIFT + SAD3x3_OUT_SHIFT)) ie 1/16 factor - * of original SAD and it's more precise than sad3x3m() -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w sad3x3m_precise( - s_1w_3x3_matrix a, - s_1w_3x3_matrix b); - -/* @brief SAD between two 3x3 matrices - * - * @param[in] a 3x3 matrix with pixels - * - * @param[in] b 3x3 matrix with pixels - * - * @return 3x3 matrix SAD - * - * This function calculates the sum of absolute difference between two matrices. - * This version saves cycles by avoiding input normalization and wide vector - * operation during sum computation - * Input pixel differences are computed by absolute of rounded, halved - * subtraction. Normalized sum is computed by rounded averages. - * Computed SAD is (1/2)*(1/16) = 1/32 factor of original SAD. Factor 1/2 comes - * from input halving operation and factor 1/16 comes from mean operation -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w sad3x3m( - s_1w_3x3_matrix a, - s_1w_3x3_matrix b); - -/* @brief SAD between two 5x5 matrices - * - * @param[in] a 5x5 matrix with pixels - * - * @param[in] b 5x5 matrix with pixels - * - * @return 5x5 matrix SAD - * - * Computed SAD is = 1/32 factor of original SAD. -*/ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w sad5x5m( - s_1w_5x5_matrix a, - s_1w_5x5_matrix b); - -/* @brief Absolute gradient between two sets of 1x5 matrices - * - * @param[in] m0 first set of 1x5 matrix with pixels - * @param[in] m1 second set of 1x5 matrix with pixels - * - * @return absolute gradient between two 1x5 matrices - * - * This function computes mean of two input 1x5 matrices and returns - * absolute difference between two mean values. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w -absgrad1x5m(s_1w_1x5_matrix m0, s_1w_1x5_matrix m1); - -/* @brief Bi-linear Interpolation optimized(approximate) - * - * @param[in] a input0 - * @param[in] b input1 - * @param[in] c cloned weight factor - * - * @return (a-b)*c + b - * - * This function will do bi-linear Interpolation on - * inputs a and b using constant weight factor c - * - * Inputs a,b are assumed in S1.15 format - * Weight factor has to be in range [0,1] and is assumed to be in S2.14 format - * - * The bilinear interpolation equation is (a*c) + b*(1-c), - * But this is implemented as (a-b)*c + b for optimization - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_bilinear_interpol_approx_c( - tvector1w a, - tvector1w b, - tscalar1w_weight c); - -/* @brief Bi-linear Interpolation optimized(approximate) - * - * @param[in] a input0 - * @param[in] b input1 - * @param[in] c weight factor - * - * @return (a-b)*c + b - * - * This function will do bi-linear Interpolation on - * inputs a and b using weight factor c - * - * Inputs a,b are assumed in S1.15 format - * Weight factor has to be in range [0,1] and is assumed to be in S2.14 format - * - * The bilinear interpolation equation is (a*c) + b*(1-c), - * But this is implemented as (a-b)*c + b for optimization - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_bilinear_interpol_approx( - tvector1w a, - tvector1w b, - tvector1w_weight c); - -/* @brief Bi-linear Interpolation - * - * @param[in] a input0 - * @param[in] b input1 - * @param[in] c weight factor - * - * @return (a*c) + b*(1-c) - * - * This function will do bi-linear Interpolation on - * inputs a and b using weight factor c - * - * Inputs a,b are assumed in S1.15 format - * Weight factor has to be in range [0,1] and is assumed to be in S2.14 format - * - * The bilinear interpolation equation is (a*c) + b*(1-c), - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_bilinear_interpol( - tvector1w a, - tvector1w b, - tscalar1w_weight c); - -/* @brief Generic Block Matching Algorithm - * @param[in] search_window pointer to input search window of 16x16 pixels - * @param[in] ref_block pointer to input reference block of 8x8 pixels, where N<=M - * @param[in] output pointer to output sads - * @param[in] search_sz search size for SAD computation - * @param[in] ref_sz block size - * @param[in] pixel_shift pixel shift to search the data - * @param[in] search_block_sz search window block size - * @param[in] shift shift value, with which the output is shifted right - * - * @return 0 when the computation is successful. - - * * This function compares the reference block with a block of size NxN in the search - * window. Sum of absolute differences for each pixel in the reference block and the - * corresponding pixel in the search block. Whole search window os traversed with the - * reference block with the given pixel shift. - * - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H int generic_block_matching_algorithm( - tscalar1w **search_window, - tscalar1w **ref_block, - tscalar1w *output, - int search_sz, - int ref_sz, - int pixel_shift, - int search_block_sz, - tscalar1w_4bit_bma_shift shift); - -#ifndef ISP2401 -/* @brief OP_1w_asp_bma_16_1_32way -#else -/* @brief OP_1w_asp_bma_16_1_32way_nomask -#endif - * - * @param[in] search_area input search window of 16x16 pixels - * @param[in] input_block input reference block of 8x8 pixels, where N<=M - * @param[in] shift shift value, with which the output is shifted right - * - * @return 81 SADs for all the search blocks. - - * This function compares the reference block with a block of size 8x8 pixels in the - * search window of 16x16 pixels. Sum of absolute differences for each pixel in the - * reference block and the corresponding pixel in the search block is calculated. - * Whole search window is traversed with the reference block with the pixel shift of 1 - * pixels. The output is right shifted with the given shift value. The shift value is - * a 4 bit value. - * - */ - -#ifndef ISP2401 -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_16_1 OP_1w_asp_bma_16_1_32way( -#else -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_16_1 OP_1w_asp_bma_16_1_32way_nomask( -#endif - bma_16x16_search_window search_area, - ref_block_8x8 input_block, - tscalar1w_4bit_bma_shift shift); - -#ifndef ISP2401 -/* @brief OP_1w_asp_bma_16_2_32way -#else -/* @brief OP_1w_asp_bma_16_2_32way_nomask -#endif - * - * @param[in] search_area input search window of 16x16 pixels - * @param[in] input_block input reference block of 8x8 pixels, where N<=M - * @param[in] shift shift value, with which the output is shifted right - * - * @return 25 SADs for all the search blocks. - * This function compares the reference block with a block of size 8x8 in the search - * window of 16x61. Sum of absolute differences for each pixel in the reference block - * and the corresponding pixel in the search block is computed. Whole search window is - * traversed with the reference block with the given pixel shift of 2 pixels. The output - * is right shifted with the given shift value. The shift value is a 4 bit value. - * - */ - -#ifndef ISP2401 -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_16_2 OP_1w_asp_bma_16_2_32way( -#else -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_16_2 OP_1w_asp_bma_16_2_32way_nomask( -#endif - bma_16x16_search_window search_area, - ref_block_8x8 input_block, - tscalar1w_4bit_bma_shift shift); -#ifndef ISP2401 -/* @brief OP_1w_asp_bma_14_1_32way -#else -/* @brief OP_1w_asp_bma_14_1_32way_nomask -#endif - * - * @param[in] search_area input search block of 16x16 pixels with search window of 14x14 pixels - * @param[in] input_block input reference block of 8x8 pixels, where N<=M - * @param[in] shift shift value, with which the output is shifted right - * - * @return 49 SADs for all the search blocks. - * This function compares the reference block with a block of size 8x8 in the search - * window of 14x14. Sum of absolute differences for each pixel in the reference block - * and the corresponding pixel in the search block. Whole search window is traversed - * with the reference block with 2 pixel shift. The output is right shifted with the - * given shift value. The shift value is a 4 bit value. Input is always a 16x16 block - * but the search window is 14x14, with last 2 pixels of row and column are not used - * for computation. - * - */ - -#ifndef ISP2401 -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_14_1 OP_1w_asp_bma_14_1_32way( -#else -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_14_1 OP_1w_asp_bma_14_1_32way_nomask( -#endif - bma_16x16_search_window search_area, - ref_block_8x8 input_block, - tscalar1w_4bit_bma_shift shift); - -#ifndef ISP2401 -/* @brief OP_1w_asp_bma_14_2_32way -#else -/* @brief OP_1w_asp_bma_14_2_32way_nomask -#endif - * - * @param[in] search_area input search block of 16x16 pixels with search window of 14x14 pixels - * @param[in] input_block input reference block of 8x8 pixels, where N<=M - * @param[in] shift shift value, with which the output is shifted right - * - * @return 16 SADs for all the search blocks. - * This function compares the reference block with a block of size 8x8 in the search - * window of 14x14. Sum of absolute differences for each pixel in the reference block - * and the corresponding pixel in the search block. Whole search window is traversed - * with the reference block with 2 pixels shift. The output is right shifted with the - * given shift value. The shift value is a 4 bit value. - * - */ - -#ifndef ISP2401 -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_14_2 OP_1w_asp_bma_14_2_32way( -#else -STORAGE_CLASS_REF_VECTOR_FUNC_H bma_output_14_2 OP_1w_asp_bma_14_2_32way_nomask( -#endif - bma_16x16_search_window search_area, - ref_block_8x8 input_block, - tscalar1w_4bit_bma_shift shift); - -#ifdef ISP2401 -/* @brief multiplex addition and passing - * - * @param[in] _a first pixel - * @param[in] _b second pixel - * @param[in] _c condition flag - * - * @return (_a + _b) if condition flag is true - * _a if condition flag is false - * - * This function does multiplex addition depending on the input condition flag - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H tvector1w OP_1w_cond_add( - tvector1w _a, - tvector1w _b, - tflags _c); - -#endif -#ifdef HAS_bfa_unit -/* @brief OP_1w_single_bfa_7x7 - * - * @param[in] weights - spatial and range weight lut - * @param[in] threshold - threshold plane, for range weight scaling - * @param[in] central_pix - central pixel plane - * @param[in] src_plane - src pixel plane - * - * @return Bilateral filter output - * - * This function implements, 7x7 single bilateral filter. - * Output = {sum(pixel * weight), sum(weight)} - * Where sum is summation over 7x7 block set. - * weight = spatial weight * range weight - * spatial weights are loaded from spatial_weight_lut depending on src pixel - * position in the 7x7 block - * range weights are computed by table look up from range_weight_lut depending - * on scaled absolute difference between src and central pixels. - * threshold is used as scaling factor. range_weight_lut consists of - * BFA_RW_LUT_SIZE numbers of LUT entries to model any distribution function. - * Piecewise linear approximation technique is used to compute range weight - * It computes absolute difference between central pixel and 61 src pixels. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H bfa_7x7_output OP_1w_single_bfa_7x7( - bfa_weights weights, - tvector1w threshold, - tvector1w central_pix, - s_1w_7x7_matrix src_plane); - -/* @brief OP_1w_joint_bfa_7x7 - * - * @param[in] weights - spatial and range weight lut - * @param[in] threshold0 - 1st threshold plane, for range weight scaling - * @param[in] central_pix0 - 1st central pixel plane - * @param[in] src0_plane - 1st pixel plane - * @param[in] threshold1 - 2nd threshold plane, for range weight scaling - * @param[in] central_pix1 - 2nd central pixel plane - * @param[in] src1_plane - 2nd pixel plane - * - * @return Joint bilateral filter output - * - * This function implements, 7x7 joint bilateral filter. - * Output = {sum(pixel * weight), sum(weight)} - * Where sum is summation over 7x7 block set. - * weight = spatial weight * range weight - * spatial weights are loaded from spatial_weight_lut depending on src pixel - * position in the 7x7 block - * range weights are computed by table look up from range_weight_lut depending - * on sum of scaled absolute difference between central pixel and two src pixel - * planes. threshold is used as scaling factor. range_weight_lut consists of - * BFA_RW_LUT_SIZE numbers of LUT entries to model any distribution function. - * Piecewise linear approximation technique is used to compute range weight - * It computes absolute difference between central pixel and 61 src pixels. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H bfa_7x7_output OP_1w_joint_bfa_7x7( - bfa_weights weights, - tvector1w threshold0, - tvector1w central_pix0, - s_1w_7x7_matrix src0_plane, - tvector1w threshold1, - tvector1w central_pix1, - s_1w_7x7_matrix src1_plane); - -/* @brief bbb_bfa_gen_spatial_weight_lut - * - * @param[in] in - 7x7 matrix of spatial weights - * @param[in] out - generated LUT - * - * @return None - * - * This function implements, creates spatial weight look up table used - * for bilaterl filter instruction. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H void bbb_bfa_gen_spatial_weight_lut( - s_1w_7x7_matrix in, - tvector1w out[BFA_MAX_KWAY]); - -/* @brief bbb_bfa_gen_range_weight_lut - * - * @param[in] in - input range weight, - * @param[in] out - generated LUT - * - * @return None - * - * This function implements, creates range weight look up table used - * for bilaterl filter instruction. - * 8 unsigned 7b weights are represented in 7 16bits LUT - * LUT formation is done as follows: - * higher 8 bit: Point(N) = Point(N+1) - Point(N) - * lower 8 bit: Point(N) = Point(N) - * Weight function can be any monotonic decreasing function for x >= 0 - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H void bbb_bfa_gen_range_weight_lut( - tvector1w in[BFA_RW_LUT_SIZE+1], - tvector1w out[BFA_RW_LUT_SIZE]); -#endif - -#ifdef ISP2401 -/* @brief OP_1w_imax32 - * - * @param[in] src - structure that holds an array of 32 elements. - * - * @return maximum element among input array. - * - *This function gets maximum element from an array of 32 elements. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H int OP_1w_imax32( - imax32_ref_in_vector src); - -/* @brief OP_1w_imaxidx32 - * - * @param[in] src - structure that holds a vector of elements. - * - * @return index of first element with maximum value among array. - * - * This function gets index of first element with maximum value - * from 32 elements. - */ -STORAGE_CLASS_REF_VECTOR_FUNC_H int OP_1w_imaxidx32( - imax32_ref_in_vector src); - -#endif -#ifndef INLINE_VECTOR_FUNC -#define STORAGE_CLASS_REF_VECTOR_FUNC_C -#define STORAGE_CLASS_REF_VECTOR_DATA_C const -#else /* INLINE_VECTOR_FUNC */ -#define STORAGE_CLASS_REF_VECTOR_FUNC_C STORAGE_CLASS_REF_VECTOR_FUNC_H -#define STORAGE_CLASS_REF_VECTOR_DATA_C STORAGE_CLASS_REF_VECTOR_DATA_H -#include "ref_vector_func.c" -#define VECTOR_FUNC_INLINED -#endif /* INLINE_VECTOR_FUNC */ - -#endif /*_REF_VECTOR_FUNC_H_INCLUDED_*/ |