#include "rk_aiq_anr_algo_bayernr.h" RKAIQ_BEGIN_DECLARE ANRresult_t bayernr_get_mode_cell_idx_by_name(CalibDb_BayerNr_2_t *pCalibdb, char *name, int *mode_idx) { int i = 0; ANRresult_t res = ANR_RET_SUCCESS; if(pCalibdb == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(name == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(mode_idx == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(pCalibdb->mode_num < 1){ LOGE_ANR("%s(%d): bayerne mode cell is zero\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } for(i=0; imode_num; i++){ if(strncmp(name, pCalibdb->mode_cell[i].name, sizeof(pCalibdb->mode_cell[i].name)) == 0){ break; } } if(imode_num){ *mode_idx = i; res = ANR_RET_SUCCESS; }else{ *mode_idx = 0; res = ANR_RET_FAILURE; } LOGD_ANR("%s:%d mode_name:%s mode_idx:%d i:%d \n", __FUNCTION__, __LINE__,name, *mode_idx, i); return res; } ANRresult_t bayernr_get_setting_idx_by_name(CalibDb_BayerNr_2_t *pCalibdb, char *name, int mode_idx, int *setting_idx) { int i = 0; ANRresult_t res = ANR_RET_SUCCESS; if(pCalibdb == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(name == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(setting_idx == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } for(i=0; imode_cell[mode_idx].setting[i].snr_mode, sizeof(pCalibdb->mode_cell[mode_idx].setting[i].snr_mode)) == 0){ break; } } if(istAuto.stBayernrParams; //CalibDb_BayerNr_t *pCalibdb = &pANRConfig->stBayernrCalib; CalibDb_BayerNR_Params_t *pSetting = &pCalibdb->mode_cell[mode_idx].setting[setting_idx]; for(i=0; iiso[i] = pSetting->iso[i]; #endif pParams->a[i] = pSetting->iso[i]; pParams->b[i] = pSetting->iso[i]; pParams->filtpar[i] = pSetting->filtPara[i]; LOGI_ANR("a[%d]:%f filtpar[%d]:%f\n", i, pParams->a[i], i, pParams->filtpar[i]); } pParams->halfpatch = 1; pParams->halfblock = 1; for(i=0; i<7; i++){ pParams->ctrPit[i] = 1.0; } for(i=0; i<8; i++){ pParams->luLevel[i] = pSetting->luLevelVal[i]; LOGI_ANR("luLevel[%d]:%f \n", i, pParams->luLevel[i]); } for(i = 0; iluRatio[i][j] = pSetting->luRatio[j][i]; } } for(i = 0; iw[i][j] = pSetting->fixW[j][i]; } } pParams->peaknoisesigma = pSetting->lamda; pParams->sw_rawnr_gauss_en = pSetting->gauss_en; pParams->rgain_offs = pSetting->RGainOff; pParams->rgain_filp = pSetting->RGainFilp; pParams->bgain_offs = pSetting->BGainOff; pParams->bgain_filp = pSetting->BGainFilp; pParams->bayernr_edgesoftness = pSetting->edgeSoftness; pParams->bayernr_gauss_weight0 = 0; pParams->bayernr_gauss_weight1 = 0; memcpy(pParams->bayernr_ver_char, pCalibdb->version, sizeof(pParams->bayernr_ver_char)); LOGI_ANR("%s:(%d) oyyf bayerner xml config end! ver:%s \n", __FUNCTION__, __LINE__, pParams->bayernr_ver_char); return res; } ANRresult_t bayernr_get_setting_idx_by_name_json(CalibDbV2_BayerNrV1_t *pCalibdb, char *name, int *calib_idx, int * tuning_idx) { int i = 0; ANRresult_t res = ANR_RET_SUCCESS; if(pCalibdb == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(name == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(calib_idx == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(tuning_idx == NULL){ LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } for(i=0; iTuningPara.Setting_len; i++){ if(strncmp(name, pCalibdb->TuningPara.Setting[i].SNR_Mode , strlen(name)*sizeof(char)) == 0){ break; } } if(iTuningPara.Setting_len){ *tuning_idx = i; }else{ *tuning_idx = 0; } for(i=0; iCalibPara.Setting_len; i++){ if(strncmp(name, pCalibdb->CalibPara.Setting[i].SNR_Mode , strlen(name)*sizeof(char)) == 0){ break; } } if(iCalibPara.Setting_len){ *calib_idx = i; }else{ *calib_idx = 0; } LOGD_ANR("%s:%d snr_name:%s snr_idx:%d i:%d \n", __FUNCTION__, __LINE__,name, *calib_idx, i); return res; } ANRresult_t init_bayernr_params_json(RKAnr_Bayernr_Params_t *pParams, CalibDbV2_BayerNrV1_t *pCalibdb, int calib_idx, int tuning_idx) { ANRresult_t res = ANR_RET_SUCCESS; int i = 0; int j = 0; LOGI_ANR("%s:(%d) oyyf bayerner xml config start\n", __FUNCTION__, __LINE__); if(pParams == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(pCalibdb == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } CalibDbV2_BayerNrV1_CalibPara_Setting_t *pCalibSetting = &pCalibdb->CalibPara.Setting[calib_idx]; CalibDbV2_BayerNrV1_TuningPara_Setting_t *pTuningSetting= &pCalibdb->TuningPara.Setting[tuning_idx]; CalibDbV2_BayerNrV1_CalibPara_Setting_ISO_t *pCalib_ISO = NULL; CalibDbV2_BayerNrV1_TuningPara_Setting_ISO_t *pTuning_ISO = NULL; for(i=0; iTuning_ISO_len; i++){ pTuning_ISO = &pTuningSetting->Tuning_ISO[i]; #ifndef RK_SIMULATOR_HW pParams->iso[i] = pTuning_ISO->iso; #endif pParams->a[i] = pTuning_ISO->iso; pParams->b[i] = pTuning_ISO->iso; pParams->filtpar[i] = pTuning_ISO->filtPara; LOGI_ANR("a[%d]:%f filtpar[%d]:%f\n", i, pParams->a[i], i, pParams->filtpar[i]); } pParams->halfpatch = 1; pParams->halfblock = 1; for(i=0; i<7; i++){ pParams->ctrPit[i] = 1.0; } for(i=0; i<8; i++){ pParams->luLevel[i] = pCalibSetting->Calib_ISO[0].luLevelVal[i]; LOGI_ANR("luLevel[%d]:%f \n", i, pParams->luLevel[i]); } for(i = 0; iCalib_ISO_len; i++){ for(j=0; j<8; j++){ pParams->luRatio[i][j] = pCalibSetting->Calib_ISO[i].luRatio[j]; } } for(i = 0; iTuning_ISO_len; i++){ pParams->w[i][0] = pTuningSetting->Tuning_ISO[i].fixW0; pParams->w[i][1] = pTuningSetting->Tuning_ISO[i].fixW1; pParams->w[i][2] = pTuningSetting->Tuning_ISO[i].fixW2; pParams->w[i][3] = pTuningSetting->Tuning_ISO[i].fixW3; } pParams->peaknoisesigma = pTuningSetting->Tuning_ISO[0].lamda; pParams->sw_rawnr_gauss_en = pTuningSetting->Tuning_ISO[0].gauss_en; pParams->rgain_offs = pTuningSetting->Tuning_ISO[0].RGainOff; pParams->rgain_filp = pTuningSetting->Tuning_ISO[0].RGainFilp; pParams->bgain_offs = pTuningSetting->Tuning_ISO[0].BGainOff; pParams->bgain_filp = pTuningSetting->Tuning_ISO[0].BGainFilp; pParams->bayernr_edgesoftness = 0; pParams->bayernr_gauss_weight0 = 0; pParams->bayernr_gauss_weight1 = 0; strncpy(pParams->bayernr_ver_char, pCalibdb->Version, sizeof(pParams->bayernr_ver_char)); LOGI_ANR("%s:(%d) oyyf bayerner xml config end! ver:%s \n", __FUNCTION__, __LINE__, pParams->bayernr_ver_char); bayernr_algo_param_printf(pParams); return res; } ANRresult_t bayernr_algo_param_printf(RKAnr_Bayernr_Params_t *pParams) { int i,j; if(pParams == NULL){ LOGE_ANR("NULL pointer\n"); return ANR_RET_NULL_POINTER; } for(i=0; iiso[i]); #endif LOGD_ANR("a[%d]:%f filtpar[%d]:%f\n", i, pParams->a[i], i, pParams->filtpar[i]); } for(i=0; i<8; i++){ LOGD_ANR("luLevel[%d]:%f \n", i, pParams->luLevel[i]); } for(i = 0; iluRatio[i][j]); } LOGD_ANR("fixw[%d]:%f %f %f %f \n", i, pParams->w[i][0], pParams->w[i][1], pParams->w[i][2], pParams->w[i][3]); } LOGD_ANR(" lamda:%f gauss_en:%d\n", pParams->peaknoisesigma, pParams->sw_rawnr_gauss_en); return ANR_RET_SUCCESS; } ANRresult_t bayernr_config_setting_param_json(RKAnr_Bayernr_Params_t *pParams, CalibDbV2_BayerNrV1_t *pCalibdb, char* param_mode, char * snr_name) { ANRresult_t res = ANR_RET_SUCCESS; int calib_idx = 0; int tuning_idx = 0; res = bayernr_get_setting_idx_by_name_json(pCalibdb, snr_name, &calib_idx, &tuning_idx); if(res != ANR_RET_SUCCESS){ LOGW_ANR("%s(%d): error!!! can't find setting in iq files, use 0 instead\n", __FUNCTION__, __LINE__); } res = init_bayernr_params_json(pParams, pCalibdb, calib_idx, tuning_idx); return res; } ANRresult_t selsec_hdr_parmas_by_ISO(RKAnr_Bayernr_Params_t *stBayerNrParams, RKAnr_Bayernr_Params_Select_t *stBayerNrParamsSelected, ANRExpInfo_t *pExpInfo) { float frameiso[3]; float frameEt[3]; float fdgain[3]; int i = 0; if(stBayerNrParams == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(stBayerNrParamsSelected == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(pExpInfo == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } int framenum = pExpInfo->hdr_mode + 1; frameiso[0] = pExpInfo->arAGain[0] * pExpInfo->arDGain[0]; frameiso[1] = pExpInfo->arAGain[1] * pExpInfo->arDGain[1]; frameiso[2] = pExpInfo->arAGain[2] * pExpInfo->arDGain[2]; frameEt[0] = pExpInfo->arTime[0]; frameEt[1] = pExpInfo->arTime[1]; frameEt[2] = pExpInfo->arTime[2]; for(int j = 0; j < framenum; j++) { ////降噪参数获取 //确定iso等级 //共有7个iso等级:50 100 200 400 800 1600 3200 6400 12800 // isogain: 1 2 4 8 16 32 64 128 256 // isolevel: 0 1 2 3 4 5 6 7 8 int isoGainStd[MAX_ISO_STEP]; int isoGain = int(frameiso[j]); int isoGainLow = 0; //向下一个isoGain,用做参数插值:y=float(isoGainHig-isoGain)/float(isoGainHig-isoGainLow)*y[isoLevelLow] // +float(isoGain-isoGainLow)/float(isoGainHig-isoGainLow)*y[isoLevelHig]; int isoGainHig = 0; //向上一个isoGain int isoGainCorrect = 1; //选择最近的一档iso的配置 int isoLevelLow = 0; int isoLevelHig = 0; int isoLevelCorrect = 0; #ifndef RK_SIMULATOR_HW for(int i = 0; i < MAX_ISO_STEP; i++) { isoGainStd[i] = stBayerNrParams->iso[i] / 50; } #else for(int i = 0; i < MAX_ISO_STEP; i++) { isoGainStd[i] = 1 * (1 << i); } #endif for (i = 0; i < MAX_ISO_STEP - 1; i++) { if (isoGain >= isoGainStd[i] && isoGain <= isoGainStd[i + 1]) { isoGainLow = isoGainStd[i]; isoGainHig = isoGainStd[i + 1]; isoLevelLow = i; isoLevelHig = i + 1; isoGainCorrect = ((isoGain - isoGainStd[i]) <= (isoGainStd[i + 1] - isoGain)) ? isoGainStd[i] : isoGainStd[i + 1]; isoLevelCorrect = ((isoGain - isoGainStd[i]) <= (isoGainStd[i + 1] - isoGain)) ? i : (i + 1); } } //VST变换参数, bilinear stBayerNrParamsSelected->a[j] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->a[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->a[isoLevelHig]; stBayerNrParamsSelected->b[j] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->b[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->b[isoLevelHig]; stBayerNrParamsSelected->b[j] = 0; stBayerNrParamsSelected->t0[j] = 0; stBayerNrParamsSelected->filtPar[j] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->filtpar[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->filtpar[isoLevelHig]; } for (i = 0; i < framenum; i++) { frameiso[i] = frameiso[i] * 50; fdgain[i] = frameiso[i] * frameEt[i]; } for (i = 0; i < framenum; i++) { fdgain[i] = fdgain[framenum - 1] / fdgain[i]; #if 0 stBayerNrParamsSelected->sw_dgain[i] = fdgain[i]; #else stBayerNrParamsSelected->sw_dgain[i] = sqrt(fdgain[i]); #endif } float filtParDiscount = (float)0.1; for (i = 0; i < framenum; i++) { float gainsqrt = sqrt(fdgain[i]); #if 0 float par = (stBayerNrParamsSelected->filtPar[i] * filtParDiscount); LOGD_ANR("gainsqrt:%f filtpar:%f, total:%f\n", gainsqrt, stBayerNrParamsSelected->filtPar[i], par * gainsqrt); stBayerNrParamsSelected->filtPar[i] = par * gainsqrt; #else stBayerNrParamsSelected->filtPar[i] = stBayerNrParamsSelected->filtPar[i] * gainsqrt; #endif } if(framenum <= 1 ) { stBayerNrParamsSelected->gausskparsq = int((1 * 1) * float(1 << (FIXNLMCALC)));// * (1 << 7); } else { stBayerNrParamsSelected->gausskparsq = int((1 * 1) * float(1 << (FIXNLMCALC))); } stBayerNrParamsSelected->sigmaPar = 0 * (1 << FIXNLMCALC); stBayerNrParamsSelected->thld_diff = (int(LUTMAXM1_FIX * LUTPRECISION_FIX)); stBayerNrParamsSelected->thld_chanelw = int(0.1 * float(1 << FIXNLMCALC)); stBayerNrParamsSelected->pix_diff = FIXDIFMAX - 1; stBayerNrParamsSelected->log_bypass = 0; //0 is none, 1 is G and RB all en, 2 only en G, 3 only RB; if(framenum <= 1 ) { stBayerNrParamsSelected->filtPar[1] = stBayerNrParamsSelected->filtPar[0]; stBayerNrParamsSelected->filtPar[2] = stBayerNrParamsSelected->filtPar[0]; stBayerNrParamsSelected->sw_dgain[1] = stBayerNrParamsSelected->sw_dgain[0]; stBayerNrParamsSelected->sw_dgain[2] = stBayerNrParamsSelected->sw_dgain[0]; } return ANR_RET_SUCCESS; } ANRresult_t select_bayernr_params_by_ISO(RKAnr_Bayernr_Params_t *stBayerNrParams, RKAnr_Bayernr_Params_Select_t *stBayerNrParamsSelected, ANRExpInfo_t *pExpInfo) { ANRresult_t res = ANR_RET_SUCCESS; int iso = 50; if(stBayerNrParams == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(stBayerNrParamsSelected == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(pExpInfo == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } iso = pExpInfo->arIso[pExpInfo->hdr_mode]; LOGD_ANR("%s:%d iso:%d \n", __FUNCTION__, __LINE__, iso); int isoGainStd[MAX_ISO_STEP]; int isoGain = MAX(int(iso / 50), 1); int isoGainLow = 0; int isoGainHig = 0; int isoGainCorrect = 1; int isoLevelLow = 0; int isoLevelHig = 0; int isoLevelCorrect = 0; int i, j; #ifndef RK_SIMULATOR_HW for(int i = 0; i < MAX_ISO_STEP; i++) { isoGainStd[i] = stBayerNrParams->iso[i] / 50; } #else for(int i = 0; i < MAX_ISO_STEP; i++) { isoGainStd[i] = 1 * (1 << i); } #endif for (i = 0; i < MAX_ISO_STEP - 1; i++) { if (isoGain >= isoGainStd[i] && isoGain <= isoGainStd[i + 1]) { isoGainLow = isoGainStd[i]; isoGainHig = isoGainStd[i + 1]; isoLevelLow = i; isoLevelHig = i + 1; isoGainCorrect = ((isoGain - isoGainStd[i]) <= (isoGainStd[i + 1] - isoGain)) ? isoGainStd[i] : isoGainStd[i + 1]; isoLevelCorrect = ((isoGain - isoGainStd[i]) <= (isoGainStd[i + 1] - isoGain)) ? i : (i + 1); break; } } if(i == MAX_ISO_STEP - 1){ if(isoGain < isoGainStd[0]){ isoGainLow = isoGainStd[0]; isoGainHig = isoGainStd[1]; isoLevelLow = 0; isoLevelHig = 1; isoGainCorrect = ((isoGain - isoGainStd[0]) <= (isoGainStd[1] - isoGain)) ? isoGainStd[0] : isoGainStd[1]; isoLevelCorrect = ((isoGain - isoGainStd[0]) <= (isoGainStd[1] - isoGain)) ? 0 : (1); } if(isoGain > isoGainStd[MAX_ISO_STEP - 1]){ isoGainLow = isoGainStd[MAX_ISO_STEP - 2]; isoGainHig = isoGainStd[MAX_ISO_STEP - 1]; isoLevelLow = MAX_ISO_STEP - 2; isoLevelHig = MAX_ISO_STEP - 1; isoGainCorrect = ((isoGain - isoGainStd[MAX_ISO_STEP - 2]) <= (isoGainStd[MAX_ISO_STEP - 1] - isoGain)) ? isoGainStd[MAX_ISO_STEP - 2] : isoGainStd[MAX_ISO_STEP - 1]; isoLevelCorrect = ((isoGain - isoGainStd[MAX_ISO_STEP - 2]) <= (isoGainStd[MAX_ISO_STEP - 1] - isoGain)) ? (MAX_ISO_STEP - 2) : (MAX_ISO_STEP - 1); } } LOGD_ANR("%s:%d iso:%d high:%d low:%d\n", __FUNCTION__, __LINE__, isoGain, isoGainHig, isoGainLow); //VST变换参数, bilinear stBayerNrParamsSelected->a[0] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->a[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->a[isoLevelHig]; stBayerNrParamsSelected->b[0] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->b[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->b[isoLevelHig]; stBayerNrParamsSelected->b[0] = 0; stBayerNrParamsSelected->t0[0] = 0; //领域halfBlock、搜索halfBlock、降噪系数filtPar,其中halfPatch和halfBlock都是对单通道而言 stBayerNrParamsSelected->halfPatch = stBayerNrParams->halfpatch; stBayerNrParamsSelected->halfBlock = stBayerNrParams->halfblock; stBayerNrParamsSelected->filtPar[0] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->filtpar[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->filtpar[isoLevelHig]; #ifdef BAYER_NR_DEBUG LOGD_ANR("Patch=%d*%d\n", stBayerNrParamsSelected->halfPatch * 2 + 1, stBayerNrParamsSelected->halfPatch * 2 + 1); LOGD_ANR("Block=%d*%d\n", stBayerNrParamsSelected->halfBlock * 2 + 1, stBayerNrParamsSelected->halfBlock * 2 + 1); LOGD_ANR("filPar=%f\n", stBayerNrParamsSelected->filtPar); #endif for (i = 0; i < 7; i++) { stBayerNrParamsSelected->ctrPit[i] = stBayerNrParams->ctrPit[i]; } for (i = 0; i < 8; i++) { stBayerNrParamsSelected->luLevel[i] = stBayerNrParams->luLevel[i]; stBayerNrParamsSelected->luRatio[i] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->luRatio[isoLevelLow][i] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->luRatio[isoLevelHig][i]; } stBayerNrParamsSelected->peaknoisesigma = stBayerNrParams->peaknoisesigma; stBayerNrParamsSelected->sw_rawnr_gauss_en = stBayerNrParams->sw_rawnr_gauss_en; for (i = 0; i < 4; i++) { stBayerNrParamsSelected->w[i] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->w[isoLevelLow][i] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->w[isoLevelHig][i]; } stBayerNrParamsSelected->bayernr_edgesoftness = stBayerNrParams->bayernr_edgesoftness; stBayerNrParamsSelected->sw_bayernr_edge_filter_en = stBayerNrParams->sw_bayernr_edge_filter_en; for (i = 0; i < 8; i++) { stBayerNrParamsSelected->sw_bayernr_edge_filter_lumapoint[i] = stBayerNrParams->sw_bayernr_edge_filter_lumapoint[i]; stBayerNrParamsSelected->sw_bayernr_edge_filter_wgt[i] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_edge_filter_wgt[isoLevelLow][i] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_edge_filter_wgt[isoLevelHig][i]; } stBayerNrParamsSelected->sw_bayernr_filter_strength = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_strength[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_strength[isoLevelHig]; for (i = 0; i < 16; i++) { stBayerNrParamsSelected->sw_bayernr_filter_lumapoint[i] = stBayerNrParams->sw_bayernr_filter_lumapoint[i]; stBayerNrParamsSelected->sw_bayernr_filter_sigma[i] = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_sigma[isoLevelLow][i] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_sigma[isoLevelHig][i]; } stBayerNrParamsSelected->sw_bayernr_filter_edgesofts = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_edgesofts[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_edgesofts[isoLevelHig]; stBayerNrParamsSelected->sw_bayernr_filter_soft_threshold_ratio = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_soft_threshold_ratio[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_soft_threshold_ratio[isoLevelHig]; stBayerNrParamsSelected->sw_bayernr_filter_out_wgt = float(isoGainHig - isoGain) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_out_wgt[isoLevelLow] + float(isoGain - isoGainLow) / float(isoGainHig - isoGainLow) * stBayerNrParams->sw_bayernr_filter_out_wgt[isoLevelHig]; //oyyf: add some fix params select memcpy(stBayerNrParamsSelected->bayernr_ver_char, stBayerNrParams->bayernr_ver_char, sizeof(stBayerNrParams->bayernr_ver_char)); stBayerNrParamsSelected->rgain_offs = stBayerNrParams->rgain_offs; stBayerNrParamsSelected->rgain_filp = stBayerNrParams->rgain_filp; stBayerNrParamsSelected->bgain_offs = stBayerNrParams->bgain_offs; stBayerNrParamsSelected->bgain_filp = stBayerNrParams->bgain_filp; stBayerNrParamsSelected->bayernr_gauss_weight0 = stBayerNrParams->bayernr_gauss_weight0; stBayerNrParamsSelected->bayernr_gauss_weight1 = stBayerNrParams->bayernr_gauss_weight1; stBayerNrParamsSelected->gausskparsq = int((1.15 * 1.15) * float(1 << (FIXNLMCALC))); stBayerNrParamsSelected->sigmaPar = 0 * (1 << FIXNLMCALC); stBayerNrParamsSelected->thld_diff = (int(LUTMAXM1_FIX * LUTPRECISION_FIX)); stBayerNrParamsSelected->thld_chanelw = int(0.1 * float(1 << FIXNLMCALC)); stBayerNrParamsSelected->pix_diff = FIXDIFMAX - 1; stBayerNrParamsSelected->log_bypass = 0; //0 is none, 1 is G and RB all en, 2 only en G, 3 only RB; //oyyf: if hdr open selsec_hdr_parmas_by_ISO(stBayerNrParams, stBayerNrParamsSelected, pExpInfo); return res; } unsigned short bayernr_get_trans(int tmpfix) { int logtablef[65] = {0, 1465, 2909, 4331, 5731, 7112, 8472, 9813, 11136, 12440, 13726, 14995, 16248, 17484, 18704, 19908, 21097, 22272, 23432, 24578, 25710, 26829, 27935, 29028, 30109, 31177, 32234, 33278, 34312, 35334, 36345, 37346, 38336, 39315, 40285, 41245, 42195, 43136, 44068, 44990, 45904, 46808, 47704, 48592, 49472, 50343, 51207, 52062, 52910, 53751, 54584, 55410, 56228, 57040, 57844, 58642, 59433, 60218, 60996, 61768, 62534, 63293, 64047, 64794, 65536 }; int logprecision = 6; int logfixbit = 16; int logtblbit = 16; int logscalebit = 12; int logfixmul = (1 << logfixbit); long long x8, one = 1; long long gx, n = 0, ix1, ix2, dp; long long lt1, lt2, dx, fx; int i, j = 1; x8 = tmpfix + (1 << 8); // find highest bit for (i = 0; i < 32; i++) { if (x8 & j) { n = i; } j = j << 1; } gx = x8 - (one << n); gx = gx * (one << logprecision) * logfixmul; gx = gx / (one << n); ix1 = gx >> logfixbit; dp = gx - ix1 * logfixmul; ix2 = ix1 + 1; lt1 = logtablef[ix1]; lt2 = logtablef[ix2]; dx = lt1 * (logfixmul - dp) + lt2 * dp; fx = dx + (n - 8) * (one << (logfixbit + logtblbit)); fx = fx + (one << (logfixbit + logtblbit - logscalebit - 1)); fx = fx >> (logfixbit + logtblbit - logscalebit); return fx; } ANRresult_t bayernr_fix_tranfer(RKAnr_Bayernr_Params_Select_t* rawnr, RKAnr_Bayernr_Fix_t *pRawnrCfg, float fStrength) { ANRresult_t res = ANR_RET_SUCCESS; int rawbit = 12;//rawBit; float tmp; LOGI_ANR("%s:(%d) enter \n", __FUNCTION__, __LINE__); if(rawnr == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(pRawnrCfg == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(fStrength <= 0.0f){ fStrength = 0.000001; } LOGD_ANR("%s(%d): strength:%f \n", __FUNCTION__, __LINE__, fStrength); //(0x0004) pRawnrCfg->gauss_en = rawnr->sw_rawnr_gauss_en; pRawnrCfg->log_bypass = rawnr->log_bypass; //(0x0008 - 0x00010) pRawnrCfg->filtpar0 = (unsigned short)(rawnr->filtPar[0] * fStrength * (1 << FIXNLMCALC)); pRawnrCfg->filtpar1 = (unsigned short)(rawnr->filtPar[1] * fStrength * (1 << FIXNLMCALC)); pRawnrCfg->filtpar2 = (unsigned short)(rawnr->filtPar[2] * fStrength * (1 << FIXNLMCALC)); if(pRawnrCfg->filtpar0 > 0x3fff) { pRawnrCfg->filtpar0 = 0x3fff; } if(pRawnrCfg->filtpar1 > 0x3fff) { pRawnrCfg->filtpar1 = 0x3fff; } if(pRawnrCfg->filtpar2 > 0x3fff) { pRawnrCfg->filtpar2 = 0x3fff; } //(0x0014 - 0x0001c) pRawnrCfg->dgain0 = (unsigned int)(rawnr->sw_dgain[0] * (1 << FIXNLMCALC)); pRawnrCfg->dgain1 = (unsigned int)(rawnr->sw_dgain[1] * (1 << FIXNLMCALC)); pRawnrCfg->dgain2 = (unsigned int)(rawnr->sw_dgain[2] * (1 << FIXNLMCALC)); if(pRawnrCfg->dgain0 > 0x3ffff) { pRawnrCfg->dgain0 = 0x3ffff; } if(pRawnrCfg->dgain1 > 0x3ffff) { pRawnrCfg->dgain1 = 0x3ffff; } if(pRawnrCfg->dgain2 > 0x3ffff) { pRawnrCfg->dgain2 = 0x3ffff; } //(0x0020 - 0x0002c) for(int i = 0; i < 8; i++) { pRawnrCfg->luration[i] = (unsigned short)(rawnr->luRatio[i] * (1 << FIXNLMCALC)); } //(0x0030 - 0x0003c) for(int i = 0; i < 8; i++) { tmp = rawnr->luLevel[i] * ( 1 << (rawbit - 8) ); pRawnrCfg->lulevel[i] = bayernr_get_trans((int)tmp); } tmp = (float)((1 << rawbit) - 1); pRawnrCfg->lulevel[8 - 1] = bayernr_get_trans((int)tmp); //(0x0040) pRawnrCfg->gauss = rawnr->gausskparsq; //(0x0044) pRawnrCfg->sigma = rawnr->sigmaPar; //(0x0048) pRawnrCfg->pix_diff = rawnr->pix_diff; //(0x004c) pRawnrCfg->thld_diff = rawnr->thld_diff; //(0x0050) pRawnrCfg->gas_weig_scl1 = rawnr->bayernr_gauss_weight0 * (1 << 8); pRawnrCfg->gas_weig_scl2 = rawnr->bayernr_gauss_weight1 * (1 << 8); pRawnrCfg->thld_chanelw = rawnr->thld_chanelw; //(0x0054) pRawnrCfg->lamda = rawnr->peaknoisesigma; //(0x0058 - 0x0005c) tmp = (rawnr->w[0] / fStrength * (1 << FIXNLMCALC)); if(tmp > 0x3ff){ tmp = 0x3ff; } pRawnrCfg->fixw0 = (unsigned short)tmp; tmp = (rawnr->w[1] / fStrength * (1 << FIXNLMCALC)); if(tmp > 0x3ff){ tmp = 0x3ff; } pRawnrCfg->fixw1 = (unsigned short)tmp;; tmp = (rawnr->w[2] / fStrength * (1 << FIXNLMCALC)); if(tmp > 0x3ff){ tmp = 0x3ff; } pRawnrCfg->fixw2 = (unsigned short)tmp; tmp = (rawnr->w[3] / fStrength * (1 << FIXNLMCALC)); if(tmp > 0x3ff){ tmp = 0x3ff; } pRawnrCfg->fixw3 = (unsigned short)tmp; //(0x0060 - 0x00068) pRawnrCfg->wlamda0 = (pRawnrCfg->fixw0 * pRawnrCfg->lamda) >> FIXNLMCALC; pRawnrCfg->wlamda1 = (pRawnrCfg->fixw1 * pRawnrCfg->lamda) >> FIXNLMCALC; pRawnrCfg->wlamda2 = (pRawnrCfg->fixw2 * pRawnrCfg->lamda) >> FIXNLMCALC; //(0x006c) pRawnrCfg->rgain_filp = rawnr->rgain_filp; pRawnrCfg->bgain_filp = rawnr->bgain_filp; #if BAYERNR_FIX_VALUE_PRINTF bayernr_fix_printf(pRawnrCfg); #endif LOGI_ANR("%s:(%d) exit \n", __FUNCTION__, __LINE__); return res; } ANRresult_t bayernr_fix_printf(RKAnr_Bayernr_Fix_t * pRawnrCfg) { //FILE *fp = fopen("bayernr_regsiter.dat", "wb+"); ANRresult_t res = ANR_RET_SUCCESS; if(pRawnrCfg == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } LOGD_ANR("%s:(%d) ############# rawnr enter######################## \n", __FUNCTION__, __LINE__); //(0x0004) LOGD_ANR("gauss_en:%d log_bypass:%d \n", pRawnrCfg->gauss_en, pRawnrCfg->log_bypass); //(0x0008 - 0x00010) LOGD_ANR("filtpar0-2:%d %d %d \n", pRawnrCfg->filtpar0, pRawnrCfg->filtpar1, pRawnrCfg->filtpar2); //(0x0014 - 0x0001c) LOGD_ANR("bayernr (0x0014 - 0x0001c)dgain0-2:%d %d %d \n", pRawnrCfg->dgain0, pRawnrCfg->dgain1, pRawnrCfg->dgain2); //(0x0020 - 0x0002c) for(int i = 0; i < 8; i++) { LOGD_ANR("luration[%d]:%d \n", i, pRawnrCfg->luration[i]); } //(0x0030 - 0x0003c) for(int i = 0; i < 8; i++) { LOGD_ANR("lulevel[%d]:%d \n", i, pRawnrCfg->lulevel[i]); } //(0x0040) LOGD_ANR("gauss:%d \n", pRawnrCfg->gauss); //(0x0044) LOGD_ANR("sigma:%d \n", pRawnrCfg->sigma); //(0x0048) LOGD_ANR("pix_diff:%d \n", pRawnrCfg->pix_diff); //(0x004c) LOGD_ANR("thld_diff:%d \n", pRawnrCfg->thld_diff); //(0x0050) LOGD_ANR("gas_weig_scl1:%d gas_weig_scl2:%d thld_chanelw:%d \n", pRawnrCfg->gas_weig_scl1, pRawnrCfg->gas_weig_scl2, pRawnrCfg->thld_chanelw); //(0x0054) LOGD_ANR("lamda:%d \n", pRawnrCfg->lamda); //(0x0058 - 0x0005c) LOGD_ANR("fixw0-3:%d %d %d %d\n", pRawnrCfg->fixw0, pRawnrCfg->fixw1, pRawnrCfg->fixw2, pRawnrCfg->fixw3); //(0x0060 - 0x00068) LOGD_ANR("wlamda0-2:%d %d %d \n", pRawnrCfg->wlamda0, pRawnrCfg->wlamda1, pRawnrCfg->wlamda2); //(0x006c) LOGD_ANR("rgain_filp:%d bgain_filp:%d \n", pRawnrCfg->rgain_filp, pRawnrCfg->bgain_filp); LOGD_ANR("%s:(%d) ############# rawnr exit ######################## \n", __FUNCTION__, __LINE__); LOGD_ANR("%s:(%d) exit \n", __FUNCTION__, __LINE__); return res; } ANRresult_t bayernr_calibdbV2_assign(CalibDbV2_BayerNrV1_t *pDst, CalibDbV2_BayerNrV1_t *pSrc) { ANRresult_t res = ANR_RET_SUCCESS; CalibDbV2_BayerNrV1_CalibPara_t *pSrcCalibParaV2 = NULL; CalibDbV2_BayerNrV1_TuningPara_t *pSrcTuningParaV2 = NULL; CalibDbV2_BayerNrV1_CalibPara_t *pDstCalibParaV2 = NULL; CalibDbV2_BayerNrV1_TuningPara_t *pDstTuningParaV2 = NULL; int setting_len =0; int iso_len = 0; if(pDst == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } if(pSrc == NULL) { LOGE_ANR("%s(%d): null pointer\n", __FUNCTION__, __LINE__); return ANR_RET_NULL_POINTER; } bayernr_calibdbV2_free(pDst); pSrcCalibParaV2 = &pSrc->CalibPara; pSrcTuningParaV2 = &pSrc->TuningPara; pDstCalibParaV2 = &pDst->CalibPara; pDstTuningParaV2 = &pDst->TuningPara; //assign the value pDst->Version = strdup(pSrc->Version); pDstTuningParaV2->enable = pSrcTuningParaV2->enable; //malloc iso size setting_len = pSrcCalibParaV2->Setting_len; pDstCalibParaV2->Setting = (CalibDbV2_BayerNrV1_CalibPara_Setting_t *)malloc(setting_len * sizeof(CalibDbV2_BayerNrV1_CalibPara_Setting_t)); memset(pDstCalibParaV2->Setting, 0x00, setting_len * sizeof(CalibDbV2_BayerNrV1_CalibPara_Setting_t)); pDstCalibParaV2->Setting_len = setting_len; for(int i=0; iSetting[i].Calib_ISO_len; pDstCalibParaV2->Setting[i].Calib_ISO = (CalibDbV2_BayerNrV1_CalibPara_Setting_ISO_t *)malloc(iso_len * sizeof(CalibDbV2_BayerNrV1_CalibPara_Setting_ISO_t)); memset(pDstCalibParaV2->Setting[i].Calib_ISO, 0x00, iso_len * sizeof(CalibDbV2_BayerNrV1_CalibPara_Setting_ISO_t)); pDstCalibParaV2->Setting[i].Calib_ISO_len = iso_len; } for(int i=0; iSetting[i].Calib_ISO_len; pDstCalibParaV2->Setting[i].SNR_Mode = strdup(pSrcTuningParaV2->Setting[i].SNR_Mode); pDstCalibParaV2->Setting[i].Sensor_Mode = strdup(pSrcTuningParaV2->Setting[i].Sensor_Mode); for(int j=0; jSetting[i].Calib_ISO[j] = pSrcCalibParaV2->Setting[i].Calib_ISO[j]; } } setting_len = pSrcTuningParaV2->Setting_len; pDstTuningParaV2->Setting = (CalibDbV2_BayerNrV1_TuningPara_Setting_t *)malloc(setting_len * sizeof(CalibDbV2_BayerNrV1_TuningPara_Setting_t)); memset(pDstTuningParaV2->Setting, 0x00, setting_len * sizeof(CalibDbV2_BayerNrV1_TuningPara_Setting_t)); pDstTuningParaV2->Setting_len = setting_len; for(int i=0; iSetting[i].Tuning_ISO_len; pDstTuningParaV2->Setting[i].Tuning_ISO = (CalibDbV2_BayerNrV1_TuningPara_Setting_ISO_t *)malloc(iso_len * sizeof(CalibDbV2_BayerNrV1_TuningPara_Setting_ISO_t)); memset(pDstTuningParaV2->Setting[i].Tuning_ISO, 0x00, iso_len * sizeof(CalibDbV2_BayerNrV1_TuningPara_Setting_ISO_t)); pDstTuningParaV2->Setting[i].Tuning_ISO_len = iso_len; } for(int i=0; iSetting[i].Tuning_ISO_len; pDstTuningParaV2->Setting[i].SNR_Mode = strdup(pSrcTuningParaV2->Setting[i].SNR_Mode); pDstTuningParaV2->Setting[i].Sensor_Mode = strdup(pSrcTuningParaV2->Setting[i].Sensor_Mode); for(int j=0; jSetting[i].Tuning_ISO[j] = pSrcTuningParaV2->Setting[i].Tuning_ISO[j]; } } return res; } void bayernr_calibdbV2_free(CalibDbV2_BayerNrV1_t *pCalibdbV2) { if(pCalibdbV2 != NULL){ if(pCalibdbV2->CalibPara.Setting != NULL){ for(int i=0; iCalibPara.Setting_len; i++){ if(pCalibdbV2->CalibPara.Setting[i].Calib_ISO != NULL){ free(pCalibdbV2->CalibPara.Setting[i].Calib_ISO ); } if(pCalibdbV2->CalibPara.Setting[i].Sensor_Mode != NULL){ free(pCalibdbV2->CalibPara.Setting[i].Sensor_Mode); } if(pCalibdbV2->CalibPara.Setting[i].SNR_Mode != NULL){ free(pCalibdbV2->CalibPara.Setting[i].SNR_Mode); } } free(pCalibdbV2->CalibPara.Setting); } if(pCalibdbV2->TuningPara.Setting != NULL){ for(int i=0; iTuningPara.Setting_len; i++){ if(pCalibdbV2->TuningPara.Setting[i].Tuning_ISO!= NULL){ free(pCalibdbV2->TuningPara.Setting[i].Tuning_ISO ); } if(pCalibdbV2->TuningPara.Setting[i].Sensor_Mode != NULL){ free(pCalibdbV2->TuningPara.Setting[i].Sensor_Mode); } if(pCalibdbV2->TuningPara.Setting[i].SNR_Mode != NULL){ free(pCalibdbV2->TuningPara.Setting[i].SNR_Mode); } } free(pCalibdbV2->TuningPara.Setting); } if(pCalibdbV2->Version != NULL){ free(pCalibdbV2->Version); } } } RKAIQ_END_DECLARE