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415 lines
17 KiB
415 lines
17 KiB
/******************************************************************************
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*
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* Copyright (C) 2012 Ittiam Systems Pvt Ltd, Bangalore
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at:
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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******************************************************************************/
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/**
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*******************************************************************************
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* @file
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* ihevc_itrans_recon_8x8.c
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*
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* @brief
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* Contains function definitions for inverse transform and reconstruction 8x8
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*
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*
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* @author
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* 100470
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*
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* @par List of Functions:
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* - ihevc_itrans_recon_8x8()
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*
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* @remarks
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* None
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*
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*******************************************************************************
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*/
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#include <stdio.h>
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#include <string.h>
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#include "ihevc_typedefs.h"
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#include "ihevc_macros.h"
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#include "ihevc_platform_macros.h"
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#include "ihevc_defs.h"
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#include "ihevc_trans_tables.h"
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#include "ihevc_itrans_recon.h"
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#include "ihevc_func_selector.h"
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#include "ihevc_trans_macros.h"
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/**
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*******************************************************************************
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*
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* @brief
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* This function performs Inverse transform and reconstruction for 8x8
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* input block
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*
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* @par Description:
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* Performs inverse transform and adds the prediction data and clips output
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* to 8 bit
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*
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* @param[in] pi2_src
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* Input 8x8 coefficients
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*
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* @param[in] pi2_tmp
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* Temporary 8x8 buffer for storing inverse
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*
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* transform
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* 1st stage output
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*
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* @param[in] pu1_pred
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* Prediction 8x8 block
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*
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* @param[out] pu1_dst
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* Output 8x8 block
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*
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* @param[in] src_strd
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* Input stride
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*
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* @param[in] pred_strd
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* Prediction stride
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*
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* @param[in] dst_strd
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* Output Stride
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*
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* @param[in] shift
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* Output shift
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*
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* @param[in] zero_cols
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* Zero columns in pi2_src
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*
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* @returns Void
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*
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* @remarks
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* None
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*
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*******************************************************************************
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*/
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void ihevc_itrans_recon_8x8(WORD16 *pi2_src,
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WORD16 *pi2_tmp,
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UWORD8 *pu1_pred,
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UWORD8 *pu1_dst,
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WORD32 src_strd,
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WORD32 pred_strd,
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WORD32 dst_strd,
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WORD32 zero_cols,
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WORD32 zero_rows)
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{
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WORD32 j, k;
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WORD32 e[4], o[4];
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WORD32 ee[2], eo[2];
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WORD32 add;
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WORD32 shift;
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WORD16 *pi2_tmp_orig;
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WORD32 trans_size;
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WORD32 zero_rows_2nd_stage = zero_cols;
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WORD32 row_limit_2nd_stage;
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trans_size = TRANS_SIZE_8;
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pi2_tmp_orig = pi2_tmp;
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if((zero_cols & 0xF0) == 0xF0)
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row_limit_2nd_stage = 4;
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else
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row_limit_2nd_stage = TRANS_SIZE_8;
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if((zero_rows & 0xF0) == 0xF0) /* First 4 rows of input are non-zero */
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{
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/************************************************************************************************/
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/**********************************START - IT_RECON_8x8******************************************/
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/************************************************************************************************/
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/* Inverse Transform 1st stage */
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shift = IT_SHIFT_STAGE_1;
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add = 1 << (shift - 1);
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for(j = 0; j < row_limit_2nd_stage; j++)
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{
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/* Checking for Zero Cols */
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if((zero_cols & 1) == 1)
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{
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memset(pi2_tmp, 0, trans_size * sizeof(WORD16));
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}
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else
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{
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/* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
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for(k = 0; k < 4; k++)
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{
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o[k] = g_ai2_ihevc_trans_8[1][k] * pi2_src[src_strd]
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+ g_ai2_ihevc_trans_8[3][k]
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* pi2_src[3 * src_strd];
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}
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eo[0] = g_ai2_ihevc_trans_8[2][0] * pi2_src[2 * src_strd];
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eo[1] = g_ai2_ihevc_trans_8[2][1] * pi2_src[2 * src_strd];
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ee[0] = g_ai2_ihevc_trans_8[0][0] * pi2_src[0];
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ee[1] = g_ai2_ihevc_trans_8[0][1] * pi2_src[0];
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/* Combining e and o terms at each hierarchy levels to calculate the final spatial domain vector */
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e[0] = ee[0] + eo[0];
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e[3] = ee[0] - eo[0];
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e[1] = ee[1] + eo[1];
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e[2] = ee[1] - eo[1];
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for(k = 0; k < 4; k++)
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{
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pi2_tmp[k] =
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CLIP_S16(((e[k] + o[k] + add) >> shift));
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pi2_tmp[k + 4] =
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CLIP_S16(((e[3 - k] - o[3 - k] + add) >> shift));
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}
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}
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pi2_src++;
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pi2_tmp += trans_size;
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zero_cols = zero_cols >> 1;
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}
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pi2_tmp = pi2_tmp_orig;
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/* Inverse Transform 2nd stage */
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shift = IT_SHIFT_STAGE_2;
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add = 1 << (shift - 1);
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if((zero_rows_2nd_stage & 0xF0) == 0xF0) /* First 4 rows of output of 1st stage are non-zero */
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{
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for(j = 0; j < trans_size; j++)
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{
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/* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
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for(k = 0; k < 4; k++)
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{
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o[k] = g_ai2_ihevc_trans_8[1][k] * pi2_tmp[trans_size]
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+ g_ai2_ihevc_trans_8[3][k] * pi2_tmp[3 * trans_size];
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}
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eo[0] = g_ai2_ihevc_trans_8[2][0] * pi2_tmp[2 * trans_size];
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eo[1] = g_ai2_ihevc_trans_8[2][1] * pi2_tmp[2 * trans_size];
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ee[0] = g_ai2_ihevc_trans_8[0][0] * pi2_tmp[0];
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ee[1] = g_ai2_ihevc_trans_8[0][1] * pi2_tmp[0];
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/* Combining e and o terms at each hierarchy levels to calculate the final spatial domain vector */
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e[0] = ee[0] + eo[0];
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e[3] = ee[0] - eo[0];
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e[1] = ee[1] + eo[1];
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e[2] = ee[1] - eo[1];
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for(k = 0; k < 4; k++)
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{
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WORD32 itrans_out;
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itrans_out =
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CLIP_S16(((e[k] + o[k] + add) >> shift));
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pu1_dst[k] = CLIP_U8((itrans_out + pu1_pred[k]));
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itrans_out =
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CLIP_S16(((e[3 - k] - o[3 - k] + add) >> shift));
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pu1_dst[k + 4] = CLIP_U8((itrans_out + pu1_pred[k + 4]));
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}
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pi2_tmp++;
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pu1_pred += pred_strd;
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pu1_dst += dst_strd;
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}
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}
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else /* All rows of output of 1st stage are non-zero */
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{
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for(j = 0; j < trans_size; j++)
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{
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/* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
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for(k = 0; k < 4; k++)
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{
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o[k] = g_ai2_ihevc_trans_8[1][k] * pi2_tmp[trans_size]
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+ g_ai2_ihevc_trans_8[3][k]
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* pi2_tmp[3 * trans_size]
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+ g_ai2_ihevc_trans_8[5][k]
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* pi2_tmp[5 * trans_size]
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+ g_ai2_ihevc_trans_8[7][k]
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* pi2_tmp[7 * trans_size];
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}
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eo[0] = g_ai2_ihevc_trans_8[2][0] * pi2_tmp[2 * trans_size]
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+ g_ai2_ihevc_trans_8[6][0] * pi2_tmp[6 * trans_size];
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eo[1] = g_ai2_ihevc_trans_8[2][1] * pi2_tmp[2 * trans_size]
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+ g_ai2_ihevc_trans_8[6][1] * pi2_tmp[6 * trans_size];
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ee[0] = g_ai2_ihevc_trans_8[0][0] * pi2_tmp[0]
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+ g_ai2_ihevc_trans_8[4][0] * pi2_tmp[4 * trans_size];
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ee[1] = g_ai2_ihevc_trans_8[0][1] * pi2_tmp[0]
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+ g_ai2_ihevc_trans_8[4][1] * pi2_tmp[4 * trans_size];
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/* Combining e and o terms at each hierarchy levels to calculate the final spatial domain vector */
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e[0] = ee[0] + eo[0];
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e[3] = ee[0] - eo[0];
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e[1] = ee[1] + eo[1];
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e[2] = ee[1] - eo[1];
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for(k = 0; k < 4; k++)
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{
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WORD32 itrans_out;
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itrans_out =
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CLIP_S16(((e[k] + o[k] + add) >> shift));
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pu1_dst[k] = CLIP_U8((itrans_out + pu1_pred[k]));
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itrans_out =
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CLIP_S16(((e[3 - k] - o[3 - k] + add) >> shift));
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pu1_dst[k + 4] = CLIP_U8((itrans_out + pu1_pred[k + 4]));
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}
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pi2_tmp++;
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pu1_pred += pred_strd;
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pu1_dst += dst_strd;
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}
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}
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/************************************************************************************************/
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/************************************END - IT_RECON_8x8******************************************/
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/************************************************************************************************/
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}
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else /* All rows of input are non-zero */
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{
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/************************************************************************************************/
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/**********************************START - IT_RECON_8x8******************************************/
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/************************************************************************************************/
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/* Inverse Transform 1st stage */
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shift = IT_SHIFT_STAGE_1;
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add = 1 << (shift - 1);
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for(j = 0; j < row_limit_2nd_stage; j++)
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{
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/* Checking for Zero Cols */
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if((zero_cols & 1) == 1)
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{
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memset(pi2_tmp, 0, trans_size * sizeof(WORD16));
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}
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else
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{
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/* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
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for(k = 0; k < 4; k++)
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{
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o[k] = g_ai2_ihevc_trans_8[1][k] * pi2_src[src_strd]
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+ g_ai2_ihevc_trans_8[3][k]
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* pi2_src[3 * src_strd]
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+ g_ai2_ihevc_trans_8[5][k]
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* pi2_src[5 * src_strd]
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+ g_ai2_ihevc_trans_8[7][k]
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* pi2_src[7 * src_strd];
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}
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eo[0] = g_ai2_ihevc_trans_8[2][0] * pi2_src[2 * src_strd]
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+ g_ai2_ihevc_trans_8[6][0] * pi2_src[6 * src_strd];
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eo[1] = g_ai2_ihevc_trans_8[2][1] * pi2_src[2 * src_strd]
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+ g_ai2_ihevc_trans_8[6][1] * pi2_src[6 * src_strd];
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ee[0] = g_ai2_ihevc_trans_8[0][0] * pi2_src[0]
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+ g_ai2_ihevc_trans_8[4][0] * pi2_src[4 * src_strd];
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ee[1] = g_ai2_ihevc_trans_8[0][1] * pi2_src[0]
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+ g_ai2_ihevc_trans_8[4][1] * pi2_src[4 * src_strd];
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/* Combining e and o terms at each hierarchy levels to calculate the final spatial domain vector */
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e[0] = ee[0] + eo[0];
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e[3] = ee[0] - eo[0];
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e[1] = ee[1] + eo[1];
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e[2] = ee[1] - eo[1];
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for(k = 0; k < 4; k++)
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{
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pi2_tmp[k] =
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CLIP_S16(((e[k] + o[k] + add) >> shift));
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pi2_tmp[k + 4] =
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CLIP_S16(((e[3 - k] - o[3 - k] + add) >> shift));
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}
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}
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pi2_src++;
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pi2_tmp += trans_size;
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zero_cols = zero_cols >> 1;
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}
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pi2_tmp = pi2_tmp_orig;
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/* Inverse Transform 2nd stage */
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shift = IT_SHIFT_STAGE_2;
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add = 1 << (shift - 1);
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if((zero_rows_2nd_stage & 0xF0) == 0xF0) /* First 4 rows of output of 1st stage are non-zero */
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{
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for(j = 0; j < trans_size; j++)
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{
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/* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
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for(k = 0; k < 4; k++)
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{
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o[k] = g_ai2_ihevc_trans_8[1][k] * pi2_tmp[trans_size]
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+ g_ai2_ihevc_trans_8[3][k] * pi2_tmp[3 * trans_size];
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}
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eo[0] = g_ai2_ihevc_trans_8[2][0] * pi2_tmp[2 * trans_size];
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eo[1] = g_ai2_ihevc_trans_8[2][1] * pi2_tmp[2 * trans_size];
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ee[0] = g_ai2_ihevc_trans_8[0][0] * pi2_tmp[0];
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ee[1] = g_ai2_ihevc_trans_8[0][1] * pi2_tmp[0];
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/* Combining e and o terms at each hierarchy levels to calculate the final spatial domain vector */
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e[0] = ee[0] + eo[0];
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e[3] = ee[0] - eo[0];
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e[1] = ee[1] + eo[1];
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e[2] = ee[1] - eo[1];
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for(k = 0; k < 4; k++)
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{
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WORD32 itrans_out;
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itrans_out =
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CLIP_S16(((e[k] + o[k] + add) >> shift));
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pu1_dst[k] = CLIP_U8((itrans_out + pu1_pred[k]));
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itrans_out =
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CLIP_S16(((e[3 - k] - o[3 - k] + add) >> shift));
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pu1_dst[k + 4] = CLIP_U8((itrans_out + pu1_pred[k + 4]));
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}
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pi2_tmp++;
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pu1_pred += pred_strd;
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pu1_dst += dst_strd;
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}
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}
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else /* All rows of output of 1st stage are non-zero */
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{
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for(j = 0; j < trans_size; j++)
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{
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/* Utilizing symmetry properties to the maximum to minimize the number of multiplications */
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for(k = 0; k < 4; k++)
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{
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o[k] = g_ai2_ihevc_trans_8[1][k] * pi2_tmp[trans_size]
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+ g_ai2_ihevc_trans_8[3][k]
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* pi2_tmp[3 * trans_size]
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+ g_ai2_ihevc_trans_8[5][k]
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* pi2_tmp[5 * trans_size]
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+ g_ai2_ihevc_trans_8[7][k]
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* pi2_tmp[7 * trans_size];
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}
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eo[0] = g_ai2_ihevc_trans_8[2][0] * pi2_tmp[2 * trans_size]
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+ g_ai2_ihevc_trans_8[6][0] * pi2_tmp[6 * trans_size];
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eo[1] = g_ai2_ihevc_trans_8[2][1] * pi2_tmp[2 * trans_size]
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+ g_ai2_ihevc_trans_8[6][1] * pi2_tmp[6 * trans_size];
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ee[0] = g_ai2_ihevc_trans_8[0][0] * pi2_tmp[0]
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+ g_ai2_ihevc_trans_8[4][0] * pi2_tmp[4 * trans_size];
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ee[1] = g_ai2_ihevc_trans_8[0][1] * pi2_tmp[0]
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+ g_ai2_ihevc_trans_8[4][1] * pi2_tmp[4 * trans_size];
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/* Combining e and o terms at each hierarchy levels to calculate the final spatial domain vector */
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e[0] = ee[0] + eo[0];
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e[3] = ee[0] - eo[0];
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e[1] = ee[1] + eo[1];
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e[2] = ee[1] - eo[1];
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for(k = 0; k < 4; k++)
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{
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WORD32 itrans_out;
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itrans_out =
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CLIP_S16(((e[k] + o[k] + add) >> shift));
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pu1_dst[k] = CLIP_U8((itrans_out + pu1_pred[k]));
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itrans_out =
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CLIP_S16(((e[3 - k] - o[3 - k] + add) >> shift));
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pu1_dst[k + 4] = CLIP_U8((itrans_out + pu1_pred[k + 4]));
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}
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pi2_tmp++;
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pu1_pred += pred_strd;
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pu1_dst += dst_strd;
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}
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}
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/************************************************************************************************/
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/************************************END - IT_RECON_8x8******************************************/
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/************************************************************************************************/
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}
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}
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