Searched refs:wavelet (Results 1 – 11 of 11) sorted by relevance
3 * wavelet haar decomposition kernel5 * ll/hl/lh/hh: wavelet decomposition image6 * layer: wavelet decomposition layer7 * decomLevels: wavelet decomposition levels79 * wavelet haar reconstruction kernel80 * output: output wavelet reconstruction image81 * ll/hl/lh/hh: input wavelet transform data as read only82 * layer: wavelet reconstruction layer83 * decomLevels: wavelet decomposition levels
3 * Calculate wavelet coefficients variance174 * wavelet coefficient thresholding kernel175 * hl/lh/hh: wavelet coefficients176 * layer: wavelet decomposition layer177 * decomLevels: wavelet decomposition levels
4 * wavelet filter for denoise usage
93 opj_v4_t* wavelet ; member2187 OPJ_FLOAT32* OPJ_RESTRICT bi = (OPJ_FLOAT32*)(dwt->wavelet + dwt->cas); in opj_v4dwt_interleave_h()2229 bi = (OPJ_FLOAT32*)(dwt->wavelet + 1 - dwt->cas); in opj_v4dwt_interleave_h()2248 … (OPJ_INT32*)(dwt->wavelet + dwt->cas + 2 * dwt->win_l_x0) + i, in opj_v4dwt_interleave_partial_h()2255 … (OPJ_INT32*)(dwt->wavelet + 1 - dwt->cas + 2 * dwt->win_h_x0) + i, in opj_v4dwt_interleave_partial_h()2267 opj_v4_t* OPJ_RESTRICT bi = dwt->wavelet + dwt->cas; in opj_v4dwt_interleave_v()2276 bi = dwt->wavelet + 1 - dwt->cas; in opj_v4dwt_interleave_v()2293 (OPJ_INT32*)(dwt->wavelet + dwt->cas + 2 * dwt->win_l_x0), in opj_v4dwt_interleave_partial_v()2299 (OPJ_INT32*)(dwt->wavelet + 1 - dwt->cas + 2 * dwt->win_h_x0), in opj_v4dwt_interleave_partial_v()2472 opj_v4dwt_decode_step1_sse(dwt->wavelet + a, dwt->win_l_x0, dwt->win_l_x1, in opj_v4dwt_decode()[all …]
7 /** @defgroup DWT DWT - Implementation of a discrete wavelet transform */24 Forward 5-3 wavelet transform in 1-D31 Forward 9-7 wavelet transform in 1-D42 Inverse wavelet transform in 2-D.88 /* Forward 5-3 wavelet transform in 1-D. */99 /* Inverse 5-3 wavelet transform in 1-D. */119 /* Forward 9-7 wavelet transform in 1-D. */130 /* Forward 5-3 wavelet transform in 2-D. */183 /* Inverse wavelet transform in 2-D. */
28 - support stich/3d-nr/wavelet-nr/defog features by xcam handle.97 * Bayesian wavelet shrinkage for adaptive noise filtering.100 wavelet coefficient.104 * Haar wavelet tuning improvement.130 * enable wavelet-based algorithm for noise reduction.131 - decompose image into multiple-scales by wavelet transform with137 - enable Haar-wavelet and Hat-wavelet NR filters.
24 - adaptive NR based on wavelet-haar and Bayersian shrinkage.26 - wavelet-hat NR (obsolete).
396 …SmartPtr<CLWaveletDenoiseImageHandler> wavelet = image_handler.dynamic_cast_ptr<CLWaveletDenoiseIm… in main() local397 XCAM_ASSERT (wavelet.ptr ()); in main()404 wavelet->set_denoise_config (wavelet_config); in main()409 …SmartPtr<CLNewWaveletDenoiseImageHandler> wavelet = image_handler.dynamic_cast_ptr<CLNewWaveletDen… in main() local410 XCAM_ASSERT (wavelet.ptr ()); in main()416 wavelet->set_denoise_config (wavelet_config); in main()
292 const XCam3aResultWaveletNoiseReduction &wavelet = xcam_wavelet->get_standard_result(); in translate_3a_results_to_xcam() local295 *new_wavelet = wavelet; in translate_3a_results_to_xcam()
176326 wavelet %41992 wˈevlɪt
211047 wavelet wˈevlɪt