├── .gitattributes ├── .gitignore ├── BIRNAT ├── #toolbox │ ├── RNN_SCI_result_analysis.mlx │ └── birnatPSNR_SSIM_Cvt.m ├── __init__.py ├── dataLoadess.py ├── env.yaml ├── gan_resnet.py ├── mask │ ├── multiplex_shift_binary_mask_256_10f.mat │ └── multiplex_shift_binary_mask_256_20f.mat ├── model │ ├── binary_mask_256_Cr8_official │ │ └── mask.mat │ ├── multiplex_shift_binary_mask_256_Cr10 │ │ ├── log.txt │ │ ├── log1.txt │ │ ├── multiplex_shift_binary_mask_256_10f.mat │ │ └── multiplex_shift_binary_mask_256_10f_info.mat │ ├── multiplex_shift_binary_mask_256_Cr10_wo_atten │ │ ├── log.txt │ │ ├── multiplex_shift_binary_mask_256_10f.mat │ │ └── multiplex_shift_binary_mask_256_10f_info.mat │ └── multiplex_shift_binary_mask_256_Cr20 │ │ ├── log.txt │ │ ├── multiplex_shift_binary_mask_256_20f.mat │ │ └── multiplex_shift_binary_mask_256_20f_info.mat ├── models.py ├── models_wo_sa.py ├── my_tools.py ├── readme.md ├── real data │ ├── BIRNAT_domino.mat │ ├── BIRNAT_water_balloon.mat │ └── BIRNAT_wheel.mat ├── recon │ └── .gitkeep ├── requirement.txt ├── test.py ├── test │ └── original_testdata │ │ ├── aerial32_cacti.mat │ │ ├── crash32_cacti.mat │ │ ├── drop8_cacti.mat │ │ ├── kobe_cacti.mat │ │ ├── runner8_cacti.mat │ │ └── traffic_cacti.mat ├── test_wo_sa.py ├── train.py ├── train │ ├── data_generation.m │ └── mask.mat ├── train_random_mask.py ├── train_sa.py ├── train_sa_at.py └── utils.py ├── DeSCI ├── algorithms │ ├── gapdenoise.m │ ├── gapdenoise_cacti.m │ ├── gapwnnm_int.m │ └── gapwnnm_int_fwise.m ├── dataset │ ├── .gitkeep │ ├── data_kobe10_cacti.mat │ ├── kobe32_cacti.mat │ └── toy31_cassi.mat ├── figures │ ├── fig_desci_cassi.m │ ├── fig_desci_cassi_bird.m │ ├── fig_desci_video.m │ └── test_desci_cassi_bird.m ├── packages │ ├── denoiser │ │ ├── BM3D │ │ │ └── VBM4D │ │ │ │ ├── Legal_Notice.txt │ │ │ │ ├── README_VBM4D.txt │ │ │ │ ├── demo_denoising.m │ │ │ │ ├── demo_denoising_traffic.m │ │ │ │ ├── read_video.m │ │ │ │ ├── vbm4d.m │ │ │ │ ├── vbm4d_thr_mex.mexa64 │ │ │ │ ├── vbm4d_thr_mex.mexmaci64 │ │ │ │ ├── vbm4d_thr_mex.mexw64 │ │ │ │ ├── vbm4d_wie_mex.mexa64 │ │ │ │ ├── vbm4d_wie_mex.mexmaci64 │ │ │ │ └── vbm4d_wie_mex.mexw64 │ │ ├── TV │ │ │ └── TV_denoising.m │ │ └── WNNM │ │ │ ├── wnnm_imdenoise │ │ │ ├── apg_partial │ │ │ │ ├── PROPACK │ │ │ │ │ ├── Afunc.m │ │ │ │ │ ├── AtAfunc.m │ │ │ │ │ ├── Atransfunc.m │ │ │ │ │ ├── Cfunc.m │ │ │ │ │ ├── bdsqr.m │ │ │ │ │ ├── bdsqr.mexglx │ │ │ │ │ ├── bdsqr.mexsg │ │ │ │ │ ├── bdsqr.mexsg64 │ │ │ │ │ ├── bdsqr.mexsol │ │ │ │ │ ├── bdsqr.mexw32 │ │ │ │ │ ├── bdsqr_mex.c │ │ │ │ │ ├── compute_int.m │ │ │ │ │ ├── dbdqr.f │ │ │ │ │ ├── helio.mat │ │ │ │ │ ├── lanbpro.doc │ │ │ │ │ ├── lanbpro.m │ │ │ │ │ ├── lanbpro.txt │ │ │ │ │ ├── laneig.doc │ │ │ │ │ ├── laneig.m │ │ │ │ │ ├── laneig.txt │ │ │ │ │ ├── lanpro.doc │ │ │ │ │ ├── lanpro.m │ │ │ │ │ ├── lanpro.txt │ │ │ │ │ ├── lansvd.doc │ │ │ │ │ ├── lansvd.m │ │ │ │ │ ├── lansvd.txt │ │ │ │ │ ├── mminfo.m │ │ │ │ │ ├── mmread.m │ │ │ │ │ ├── mmwrite.m │ │ │ │ │ ├── pythag.m │ │ │ │ │ ├── refinebounds.m │ │ │ │ │ ├── reorth.f │ │ │ │ │ ├── reorth.m │ │ │ │ │ ├── reorth.mexglx │ │ │ │ │ ├── reorth.mexsg │ │ │ │ │ ├── reorth.mexsg64 │ │ │ │ │ ├── reorth.mexsol │ │ │ │ │ ├── reorth_mex.c │ │ │ │ │ ├── test.m │ │ │ │ │ ├── testtqlb.m │ │ │ │ │ ├── tqlb.f │ │ │ │ │ ├── tqlb.m │ │ │ │ │ ├── tqlb.mexglx │ │ │ │ │ ├── tqlb.mexsg │ │ │ │ │ ├── tqlb.mexsg64 │ │ │ │ │ ├── tqlb.mexsol │ │ │ │ │ ├── tqlb_mex.c │ │ │ │ │ └── update_gbound.m │ │ │ │ ├── choosvd.m │ │ │ │ ├── partial_proximal_gradient_rpca2.m │ │ │ │ └── pos.m │ │ │ ├── blockmatch.m │ │ │ ├── im2patch.m │ │ │ ├── neighborind.m │ │ │ ├── paraconfig.m │ │ │ ├── patch2im.m │ │ │ ├── patchestimate.m │ │ │ ├── rpca.m │ │ │ ├── test_wnnm_imdenoise.m │ │ │ ├── wnnm.m │ │ │ └── wnnm_imdenoise.m │ │ │ └── wnnm_vdenoise │ │ │ ├── matchpatneighbor.m │ │ │ ├── neighborind.m │ │ │ ├── nnm.m │ │ │ ├── patch2v.m │ │ │ ├── test_wnnm_vdenoise.m │ │ │ ├── v2patch.m │ │ │ ├── vblockmatch.m │ │ │ ├── vdefparaconf.m │ │ │ ├── vparaconfig.m │ │ │ ├── vpatchestimate.m │ │ │ ├── wnnm.m │ │ │ ├── wnnm_vdenoise.m │ │ │ └── wnnm_vdenoise_par.m │ ├── readme.md │ └── spectrumRGB │ │ ├── colorMatchFcn.m │ │ ├── createSpectrum.m │ │ ├── illuminant.m │ │ ├── license.txt │ │ ├── spectrumLabel.m │ │ └── spectrumRGB.m ├── readme.md ├── test_desci.m ├── test_desci_cassi.m └── utils │ ├── A_xy.m │ ├── At_xy_nonorm.m │ ├── imnorm.m │ ├── tight_subplot.m │ ├── vpsnr.m │ ├── vshowSpectralData.m │ └── vssim.m ├── E2E_CNN ├── E2E_CNN_simu │ ├── Lib │ │ ├── Data_Processing.py │ │ ├── Data_Processing_bak.py │ │ ├── Model_Visualization.py │ │ ├── Utility.py │ │ ├── __init__.py │ │ └── ms_ssim.py │ ├── Model │ │ ├── Base_Handler.py │ │ ├── Base_TFModel.py │ │ ├── Config.yaml │ │ ├── Config_original.yaml │ │ ├── Decoder_Handler.py │ │ ├── Decoder_Handler_bak.py │ │ ├── E2E_CNN_model.py │ │ ├── MultiDim_Analyzer_Model.py │ │ └── __init__.py │ ├── __init__.py │ ├── test_bak.py │ ├── test_meas.py │ ├── test_orig.py │ └── train.py ├── README-cn.md ├── README.md ├── analysis │ ├── E2E reconstruction analysis.md │ └── E2E_CNN_result_analysis.mlx ├── data_simu │ ├── mask │ │ ├── .gitkeep │ │ ├── binary_mask_256_10f.mat │ │ └── gray_mask_256_10f.mat │ ├── testing_truth │ │ ├── .gitkeep │ │ └── traffic.mat │ ├── training_truth │ │ ├── .gitkeep │ │ └── bear1_1_flipud.mat │ └── valid_truth │ │ ├── .gitkeep │ │ └── tuk-tuk8.mat ├── readme.txt └── toolbox │ ├── E2E_CNN_result_analysis.mlx │ ├── gen_mask.m │ ├── gen_multiframe_dataset.m │ └── run_gen_multiframe_dataset.m ├── MetaSCI ├── .gitignore ├── LICENSE ├── MetaFunc.py ├── README.md ├── dataset │ ├── mask │ │ └── .gitkeep │ ├── orig │ │ └── .gitkeep │ └── test_set │ │ └── .gitkeep ├── main_MetaAdaptModel_test.py ├── main_MetaAdaptModel_train.py ├── main_MetaBaseModel_test.py ├── main_MetaBaseModel_train.py ├── main_MetaBaseModel_train_parallel.py ├── my_util │ ├── crop_util.py │ ├── io_util.py │ ├── plot_util.py │ ├── quality_util.py │ └── test_script.py ├── toolbox │ ├── gen_mask │ │ ├── binary_mask.m │ │ └── gray_mask.m │ └── image2patch_v2 │ │ ├── demo.m │ │ ├── einstein.bmp │ │ ├── image2patches.m │ │ ├── patches2image.m │ │ └── tower.jpg └── utils.py ├── PnP_SCI ├── [shared] │ ├── ADMM_Fastdvdnet_xinyuan │ │ ├── deep_vprior_sci_gray_real__iniMatlab_ffd.py │ │ └── dvp_linear_inv.py │ └── cacti_code │ │ ├── ATV_ClipB_GAP_CACTI.m │ │ ├── FFD_Net_DenoiserGPU.m │ │ ├── FFD_Net_Denoiserfast.m │ │ ├── TV_ADMM_CACTI_all.m │ │ ├── TV_ADMM_CACTI_real.m │ │ ├── TV_FISTA_CACTI_all.m │ │ ├── TV_FISTA_CACTI_real.m │ │ ├── TV_GAP_CACTI.m │ │ ├── TV_GAP_CACTI_FFDnet.m │ │ ├── TV_GAP_CACTI_FFDnetGPU.m │ │ ├── TV_GAP_CACTI_FFDnetGPU_joint.m │ │ ├── TV_GAP_CACTI_FFDnetfast.m │ │ ├── TV_GAP_CACTI_all.m │ │ ├── TV_GAP_CACTI_cham_ATV2D.m │ │ ├── TV_GAP_CACTI_cham_ITV2D.m │ │ ├── TV_GAP_CACTI_cham_ITV3D.m │ │ ├── TV_TwIST_CACTI_all.m │ │ ├── TV_TwIST_CACTI_real.m │ │ ├── TV_res_GAP_CACTI.m │ │ ├── cacti_redidual.m │ │ ├── fgp_denoise_ATV2D.m │ │ ├── fgp_denoise_ITV2D.m │ │ ├── fgp_denoise_ITV3D.m │ │ ├── funs │ │ ├── A_wht.m │ │ ├── A_xy.m │ │ ├── At_wht.m │ │ ├── At_xy_nonorm.m │ │ ├── DCT_threshold_3d_block.m │ │ ├── GMM_CS_Inv_samePhi.m │ │ ├── GMM_EVT.m │ │ ├── Lforward.m │ │ ├── Ltrans.m │ │ ├── MakeONFilter.m │ │ ├── TV3D_denoising_clip.m │ │ ├── TVDtDhv_clip_GAP_CACTI.m │ │ ├── TVDtDhv_denoising_clip.m │ │ ├── TVHD_denoising_clip.m │ │ ├── TV_GAP_CACTI_cham3d.m │ │ ├── TV_denoising.m │ │ ├── TV_denoising_ClipA.m │ │ ├── TV_denoising_ClipB.m │ │ ├── TV_denoising_ClipB_debug.m │ │ ├── TV_denoising_MM.m │ │ ├── TV_denoising_clip.m │ │ ├── TV_denoising_clip_LB.m │ │ ├── TV_par.m │ │ ├── TVmm_GAP_CACTI.m │ │ ├── cluster_patches.m │ │ ├── dct_block2d.m │ │ ├── dct_block3d.m │ │ ├── denoise_bound.m │ │ ├── fgp_denoise_bound_3d.m │ │ ├── fgp_denoise_bound_3dfw.m │ │ ├── formhg.m │ │ ├── freezeColors.m │ │ ├── get_waveletMatrix.m │ │ ├── idct_block3d.m │ │ ├── image2patches3d.m │ │ ├── image2patches_fast.m │ │ ├── k_means.m │ │ ├── logsumexp.m │ │ ├── my_genneratemoive.m │ │ ├── myfastidct2_givenT.m │ │ ├── myfwht.mexw64 │ │ ├── patch_cluster.m │ │ ├── patches2image_fast.m │ │ ├── patches3d2image.m │ │ ├── subtightplot.m │ │ ├── tvdenoise_cham.m │ │ ├── tvdenoise_cham3d.m │ │ ├── tvdenoise_cham_ATV2D.m │ │ ├── tvdenoise_chammax.m │ │ ├── tvdenoise_chammax_L1.m │ │ ├── tvdenoise_chammax_L13D.m │ │ ├── tvdenoise_chammax_L1w3D.m │ │ └── unfreezeColors.m │ │ ├── main_gap_cacti_zhihongzhang.m │ │ ├── tvdenoise_cham_ITV2D.m │ │ └── tvdenoise_cham_ITV3D.m ├── [toolbox] │ ├── PnP_result_analysis.mlx │ ├── data_simulation_handcraft.mlx │ ├── data_simulation_totalflow.mlx │ ├── mask_calib.mlx │ └── show_dvp_result.mlx ├── matlab │ ├── .gitignore │ ├── algorithms │ │ ├── admmdenoise.m │ │ ├── admmdenoise_cacti.m │ │ ├── admmdenoise_cacti_bayer.m │ │ ├── admmwnnm_int.m │ │ ├── admmwnnm_int_fwise.m │ │ ├── gap_joint_denoise.m │ │ ├── gap_joint_denoise_cacti.m │ │ ├── gapdenoise.m │ │ ├── gapdenoise_cacti.m │ │ ├── gapwnnm_int.m │ │ ├── gapwnnm_int_fwise.m │ │ ├── istadenoise.m │ │ ├── istadenoise_cacti.m │ │ └── tvdenoisers │ │ │ ├── TV_denoising.m │ │ │ ├── TV_denoising_clip_LB.m │ │ │ ├── fgp_denoise_ATV2D.m │ │ │ ├── fgp_denoise_ITV2D.m │ │ │ ├── fgp_denoise_ITV3D.m │ │ │ ├── tvdenoise_cham_ATV2D.m │ │ │ ├── tvdenoise_cham_ITV2D.m │ │ │ └── tvdenoise_cham_ITV3D.m │ ├── dataset │ │ ├── data │ │ │ └── data_traffic_256_10f.mat │ │ ├── mask │ │ │ ├── binary_mask_256_10f.mat │ │ │ └── gray_mask_256_10f.mat │ │ └── orig │ │ │ └── traffic_256.mat │ ├── matconvnet-1.0-beta25 │ │ ├── .gitattributes │ │ ├── .gitignore │ │ ├── .gitmodules │ │ ├── CONTRIBUTING.md │ │ ├── COPYING │ │ ├── Makefile │ │ ├── README.md │ │ ├── doc │ │ │ ├── Makefile │ │ │ ├── blocks.tex │ │ │ ├── figures │ │ │ │ ├── imnet.pdf │ │ │ │ ├── pepper.pdf │ │ │ │ └── svg │ │ │ │ │ ├── conv.svg │ │ │ │ │ ├── convt.svg │ │ │ │ │ ├── matconvnet-blue.svg │ │ │ │ │ └── matconvnet-white.svg │ │ │ ├── fundamentals.tex │ │ │ ├── geometry.tex │ │ │ ├── impl.tex │ │ │ ├── intro.tex │ │ │ ├── matconvnet-manual.tex │ │ │ ├── matdoc.py │ │ │ ├── matdocparser.py │ │ │ ├── references.bib │ │ │ ├── site │ │ │ │ ├── docs │ │ │ │ │ ├── about.md │ │ │ │ │ ├── css │ │ │ │ │ │ └── fixes.css │ │ │ │ │ ├── developers.md │ │ │ │ │ ├── faq.md │ │ │ │ │ ├── functions.md │ │ │ │ │ ├── gpu.md │ │ │ │ │ ├── index.md │ │ │ │ │ ├── install-alt.md │ │ │ │ │ ├── install.md │ │ │ │ │ ├── js │ │ │ │ │ │ ├── mathjaxhelper.js │ │ │ │ │ │ └── toggle.js │ │ │ │ │ ├── pretrained.md │ │ │ │ │ ├── quick.md │ │ │ │ │ ├── spatial-transformer.md │ │ │ │ │ ├── training.md │ │ │ │ │ └── wrappers.md │ │ │ │ ├── mkdocs.yml │ │ │ │ └── theme │ │ │ │ │ ├── content.html │ │ │ │ │ ├── css │ │ │ │ │ └── base.css │ │ │ │ │ ├── js │ │ │ │ │ └── base.js │ │ │ │ │ ├── main.html │ │ │ │ │ ├── matconvnet-blue.svg │ │ │ │ │ ├── nav.html │ │ │ │ │ └── toc.html │ │ │ └── wrappers.tex │ │ ├── examples │ │ │ ├── +solver │ │ │ │ ├── adadelta.m │ │ │ │ ├── adagrad.m │ │ │ │ ├── adam.m │ │ │ │ └── rmsprop.m │ │ │ ├── cifar │ │ │ │ ├── cnn_cifar.m │ │ │ │ ├── cnn_cifar_init.m │ │ │ │ └── cnn_cifar_init_nin.m │ │ │ ├── cnn_train.m │ │ │ ├── cnn_train_dag.m │ │ │ ├── custom_imdb │ │ │ │ ├── cnn_toy_data.m │ │ │ │ └── cnn_toy_data_generator.m │ │ │ ├── fast_rcnn │ │ │ │ ├── +dagnn │ │ │ │ │ └── LossSmoothL1.m │ │ │ │ ├── 000004.jpg │ │ │ │ ├── 000004_boxes.mat │ │ │ │ ├── README.md │ │ │ │ ├── bbox_functions │ │ │ │ │ ├── bbox_clip.m │ │ │ │ │ ├── bbox_draw.m │ │ │ │ │ ├── bbox_nms.m │ │ │ │ │ ├── bbox_overlap.m │ │ │ │ │ ├── bbox_remove_duplicates.m │ │ │ │ │ ├── bbox_scale.m │ │ │ │ │ ├── bbox_transform.m │ │ │ │ │ └── bbox_transform_inv.m │ │ │ │ ├── datasets │ │ │ │ │ ├── add_bboxreg_targets.m │ │ │ │ │ ├── attach_proposals.m │ │ │ │ │ ├── cnn_setup_data_voc07.m │ │ │ │ │ └── cnn_setup_data_voc07_ssw.m │ │ │ │ ├── fast_rcnn_demo.m │ │ │ │ ├── fast_rcnn_eval_get_batch.m │ │ │ │ ├── fast_rcnn_evaluate.m │ │ │ │ ├── fast_rcnn_init.m │ │ │ │ ├── fast_rcnn_train.m │ │ │ │ └── fast_rcnn_train_get_batch.m │ │ │ ├── imagenet │ │ │ │ ├── cnn_imagenet.m │ │ │ │ ├── cnn_imagenet_camdemo.m │ │ │ │ ├── cnn_imagenet_deploy.m │ │ │ │ ├── cnn_imagenet_evaluate.m │ │ │ │ ├── cnn_imagenet_googlenet.m │ │ │ │ ├── cnn_imagenet_init.m │ │ │ │ ├── cnn_imagenet_init_inception.m │ │ │ │ ├── cnn_imagenet_init_resnet.m │ │ │ │ ├── cnn_imagenet_minimal.m │ │ │ │ ├── cnn_imagenet_setup_data.m │ │ │ │ ├── cnn_imagenet_sync_labels.m │ │ │ │ ├── getImageBatch.m │ │ │ │ └── getImageStats.m │ │ │ ├── mnist │ │ │ │ ├── cnn_mnist.m │ │ │ │ ├── cnn_mnist_experiments.m │ │ │ │ └── cnn_mnist_init.m │ │ │ ├── spatial_transformer │ │ │ │ ├── cnn_stn_cluttered_mnist.m │ │ │ │ ├── cnn_stn_cluttered_mnist_init.m │ │ │ │ └── readme.txt │ │ │ └── vggfaces │ │ │ │ └── cnn_vgg_faces.m │ │ ├── matconvnet.sln │ │ ├── matconvnet.vcxproj │ │ ├── matconvnet.vcxproj.filters │ │ ├── matconvnet.xcodeproj │ │ │ ├── project.pbxproj │ │ │ ├── project.xcworkspace │ │ │ │ └── contents.xcworkspacedata │ │ │ └── xcshareddata │ │ │ │ └── xcschemes │ │ │ │ ├── matconv CPU.xcscheme │ │ │ │ ├── matconv GPU.xcscheme │ │ │ │ └── matconv cuDNN.xcscheme │ │ ├── matlab │ │ │ ├── +dagnn │ │ │ │ ├── @DagNN │ │ │ │ │ ├── DagNN.m │ │ │ │ │ ├── addLayer.m │ │ │ │ │ ├── eval.m │ │ │ │ │ ├── fromSimpleNN.m │ │ │ │ │ ├── getVarReceptiveFields.m │ │ │ │ │ ├── getVarSizes.m │ │ │ │ │ ├── initParams.m │ │ │ │ │ ├── loadobj.m │ │ │ │ │ ├── move.m │ │ │ │ │ ├── print.m │ │ │ │ │ ├── rebuild.m │ │ │ │ │ ├── removeLayer.m │ │ │ │ │ ├── renameLayer.m │ │ │ │ │ ├── renameParam.m │ │ │ │ │ ├── renameVar.m │ │ │ │ │ ├── reset.m │ │ │ │ │ ├── saveobj.m │ │ │ │ │ ├── setLayerInputs.m │ │ │ │ │ ├── setLayerOutputs.m │ │ │ │ │ └── setLayerParams.m │ │ │ │ ├── AffineGridGenerator.m │ │ │ │ ├── BatchNorm.m │ │ │ │ ├── BilinearSampler.m │ │ │ │ ├── Concat.m │ │ │ │ ├── Conv.m │ │ │ │ ├── ConvTranspose.m │ │ │ │ ├── Crop.m │ │ │ │ ├── DropOut.m │ │ │ │ ├── ElementWise.m │ │ │ │ ├── Filter.m │ │ │ │ ├── LRN.m │ │ │ │ ├── Layer.m │ │ │ │ ├── Loss.m │ │ │ │ ├── NormOffset.m │ │ │ │ ├── PDist.m │ │ │ │ ├── Pooling.m │ │ │ │ ├── ROIPooling.m │ │ │ │ ├── ReLU.m │ │ │ │ ├── Scale.m │ │ │ │ ├── Sigmoid.m │ │ │ │ ├── SoftMax.m │ │ │ │ ├── SpatialNorm.m │ │ │ │ ├── Sum.m │ │ │ │ └── UniformScalingGridGenerator.m │ │ │ ├── ParameterServer.m │ │ │ ├── compatibility │ │ │ │ └── parallel │ │ │ │ │ ├── gather.m │ │ │ │ │ ├── labindex.m │ │ │ │ │ └── numlabs.m │ │ │ ├── functionSignatures.json │ │ │ ├── simplenn │ │ │ │ ├── vl_simplenn.m │ │ │ │ ├── vl_simplenn_diagnose.m │ │ │ │ ├── vl_simplenn_display.m │ │ │ │ ├── vl_simplenn_move.m │ │ │ │ ├── vl_simplenn_start_parserv.m │ │ │ │ └── vl_simplenn_tidy.m │ │ │ ├── src │ │ │ │ ├── bits │ │ │ │ │ ├── data.cpp │ │ │ │ │ ├── data.cu │ │ │ │ │ ├── data.hpp │ │ │ │ │ ├── datacu.cu │ │ │ │ │ ├── datacu.hpp │ │ │ │ │ ├── datamex.cpp │ │ │ │ │ ├── datamex.cu │ │ │ │ │ ├── datamex.hpp │ │ │ │ │ ├── impl │ │ │ │ │ │ ├── blashelper.hpp │ │ │ │ │ │ ├── compat.h │ │ │ │ │ │ ├── copy.hpp │ │ │ │ │ │ ├── copy_cpu.cpp │ │ │ │ │ │ ├── copy_gpu.cu │ │ │ │ │ │ ├── cudnnhelper.hpp │ │ │ │ │ │ ├── dispatcher.hpp │ │ │ │ │ │ ├── fast_mutex.h │ │ │ │ │ │ ├── im2row.hpp │ │ │ │ │ │ ├── im2row_cpu.cpp │ │ │ │ │ │ ├── im2row_gpu.cu │ │ │ │ │ │ ├── imread_gdiplus.cpp │ │ │ │ │ │ ├── imread_helpers.hpp │ │ │ │ │ │ ├── imread_libjpeg.cpp │ │ │ │ │ │ ├── imread_quartz.cpp │ │ │ │ │ │ ├── sharedmem.cuh │ │ │ │ │ │ ├── tinythread.cpp │ │ │ │ │ │ └── tinythread.h │ │ │ │ │ ├── imread.cpp │ │ │ │ │ ├── imread.hpp │ │ │ │ │ ├── mexutils.h │ │ │ │ │ ├── nnbias.cpp │ │ │ │ │ ├── nnbias.cu │ │ │ │ │ ├── nnbias.hpp │ │ │ │ │ ├── nnbias_cudnn.cu │ │ │ │ │ ├── nnbilinearsampler.cpp │ │ │ │ │ ├── nnbilinearsampler.cu │ │ │ │ │ ├── nnbilinearsampler.hpp │ │ │ │ │ ├── nnbilinearsampler_cudnn.cu │ │ │ │ │ ├── nnbilinearsampler_gpu.cu │ │ │ │ │ ├── nnbnorm.cpp │ │ │ │ │ ├── nnbnorm.cu │ │ │ │ │ ├── nnbnorm.hpp │ │ │ │ │ ├── nnbnorm_cudnn.cu │ │ │ │ │ ├── nnbnorm_gpu.cu │ │ │ │ │ ├── nnconv.cpp │ │ │ │ │ ├── nnconv.cu │ │ │ │ │ ├── nnconv.hpp │ │ │ │ │ ├── nnconv_blas.hpp │ │ │ │ │ ├── nnconv_cudnn.cu │ │ │ │ │ ├── nnconv_cudnn.hpp │ │ │ │ │ ├── nnfullyconnected.cpp │ │ │ │ │ ├── nnfullyconnected.cu │ │ │ │ │ ├── nnfullyconnected.hpp │ │ │ │ │ ├── nnnormalize.cpp │ │ │ │ │ ├── nnnormalize.cu │ │ │ │ │ ├── nnnormalize.hpp │ │ │ │ │ ├── nnnormalize_gpu.cu │ │ │ │ │ ├── nnnormalizelp.cpp │ │ │ │ │ ├── nnnormalizelp.cu │ │ │ │ │ ├── nnnormalizelp.hpp │ │ │ │ │ ├── nnnormalizelp_gpu.cu │ │ │ │ │ ├── nnpooling.cpp │ │ │ │ │ ├── nnpooling.cu │ │ │ │ │ ├── nnpooling.hpp │ │ │ │ │ ├── nnpooling_cudnn.cu │ │ │ │ │ ├── nnpooling_gpu.cu │ │ │ │ │ ├── nnroipooling.cpp │ │ │ │ │ ├── nnroipooling.cu │ │ │ │ │ ├── nnroipooling.hpp │ │ │ │ │ ├── nnroipooling_gpu.cu │ │ │ │ │ ├── nnsubsample.cpp │ │ │ │ │ ├── nnsubsample.cu │ │ │ │ │ ├── nnsubsample.hpp │ │ │ │ │ └── nnsubsample_gpu.cu │ │ │ │ ├── config │ │ │ │ │ ├── mex_CUDA_glnxa64.sh │ │ │ │ │ ├── mex_CUDA_glnxa64.xml │ │ │ │ │ ├── mex_CUDA_maci64.sh │ │ │ │ │ └── mex_CUDA_maci64.xml │ │ │ │ ├── vl_cudatool.cpp │ │ │ │ ├── vl_cudatool.cu │ │ │ │ ├── vl_imreadjpeg.cpp │ │ │ │ ├── vl_imreadjpeg.cu │ │ │ │ ├── vl_imreadjpeg_old.cpp │ │ │ │ ├── vl_imreadjpeg_old.cu │ │ │ │ ├── vl_nnbilinearsampler.cpp │ │ │ │ ├── vl_nnbilinearsampler.cu │ │ │ │ ├── vl_nnbnorm.cpp │ │ │ │ ├── vl_nnbnorm.cu │ │ │ │ ├── vl_nnconv.cpp │ │ │ │ ├── vl_nnconv.cu │ │ │ │ ├── vl_nnconvt.cpp │ │ │ │ ├── vl_nnconvt.cu │ │ │ │ ├── vl_nnnormalize.cpp │ │ │ │ ├── vl_nnnormalize.cu │ │ │ │ ├── vl_nnnormalizelp.cpp │ │ │ │ ├── vl_nnnormalizelp.cu │ │ │ │ ├── vl_nnpool.cpp │ │ │ │ ├── vl_nnpool.cu │ │ │ │ ├── vl_nnroipool.cpp │ │ │ │ ├── vl_nnroipool.cu │ │ │ │ ├── vl_taccummex.cpp │ │ │ │ ├── vl_taccummex.cu │ │ │ │ ├── vl_tmove.cpp │ │ │ │ └── vl_tmove.cu │ │ │ ├── vl_argparse.m │ │ │ ├── vl_compilenn.m │ │ │ ├── vl_contrib.m │ │ │ ├── vl_imreadjpeg.m │ │ │ ├── vl_nnbilinearsampler.m │ │ │ ├── vl_nnbnorm.m │ │ │ ├── vl_nnconcat.m │ │ │ ├── vl_nnconv.m │ │ │ ├── vl_nnconvt.m │ │ │ ├── vl_nncrop.m │ │ │ ├── vl_nndropout.m │ │ │ ├── vl_nnloss.m │ │ │ ├── vl_nnnoffset.m │ │ │ ├── vl_nnnormalize.m │ │ │ ├── vl_nnnormalizelp.m │ │ │ ├── vl_nnnotfound.m │ │ │ ├── vl_nnpdist.m │ │ │ ├── vl_nnpool.m │ │ │ ├── vl_nnrelu.m │ │ │ ├── vl_nnroipool.m │ │ │ ├── vl_nnsigmoid.m │ │ │ ├── vl_nnsoftmax.m │ │ │ ├── vl_nnsoftmaxloss.m │ │ │ ├── vl_nnspnorm.m │ │ │ ├── vl_rootnn.m │ │ │ ├── vl_setupnn.m │ │ │ ├── vl_taccum.m │ │ │ ├── vl_tmove.m │ │ │ ├── vl_tshow.m │ │ │ └── xtest │ │ │ │ ├── cmyk.jpg │ │ │ │ ├── suite │ │ │ │ ├── Scale.m │ │ │ │ ├── nnbilinearsampler.m │ │ │ │ ├── nnbnorm.m │ │ │ │ ├── nnconcat.m │ │ │ │ ├── nnconv.m │ │ │ │ ├── nnconvt.m │ │ │ │ ├── nndagnn.m │ │ │ │ ├── nndropout.m │ │ │ │ ├── nnloss.m │ │ │ │ ├── nnmnist.m │ │ │ │ ├── nnnormalize.m │ │ │ │ ├── nnnormalizelp.m │ │ │ │ ├── nnoffset.m │ │ │ │ ├── nnpdist.m │ │ │ │ ├── nnpool.m │ │ │ │ ├── nnrelu.m │ │ │ │ ├── nnroipool.m │ │ │ │ ├── nnsigmoid.m │ │ │ │ ├── nnsimplenn.m │ │ │ │ ├── nnsoftmax.m │ │ │ │ ├── nnsoftmaxloss.m │ │ │ │ ├── nnsolvers.m │ │ │ │ ├── nnspnorm.m │ │ │ │ ├── nntest.m │ │ │ │ └── tmovemex.m │ │ │ │ ├── vl_bench_bnorm.m │ │ │ │ ├── vl_bench_imreadjpeg.m │ │ │ │ ├── vl_nnbnorm_old.m │ │ │ │ ├── vl_nnnormalizelp_old.m │ │ │ │ ├── vl_test_bnorm.m │ │ │ │ ├── vl_test_economic_relu.m │ │ │ │ ├── vl_test_gpureset.m │ │ │ │ ├── vl_test_imreadjpeg.m │ │ │ │ ├── vl_test_print.m │ │ │ │ └── vl_testnn.m │ │ └── utils │ │ │ ├── evaluate_ref_models.m │ │ │ ├── get-file.sh │ │ │ ├── import-caffe.py │ │ │ ├── import-fast-rcnn.sh │ │ │ ├── import-fcn.sh │ │ │ ├── import-googlenet.sh │ │ │ ├── import-ref-models.sh │ │ │ ├── import-resnet.sh │ │ │ ├── layers.py │ │ │ ├── model2dot.m │ │ │ ├── preprocess-imagenet.sh │ │ │ ├── proto │ │ │ ├── __init__.py │ │ │ ├── caffe.proto │ │ │ ├── caffe_0115.proto │ │ │ ├── caffe_0115_pb2.py │ │ │ ├── caffe_6e3916.proto │ │ │ ├── caffe_6e3916_pb2.py │ │ │ ├── caffe_b590f1d.proto │ │ │ ├── caffe_b590f1d_pb2.py │ │ │ ├── caffe_fastrcnn.proto │ │ │ ├── caffe_fastrcnn_pb2.py │ │ │ ├── caffe_old.proto │ │ │ ├── caffe_old_pb2.py │ │ │ ├── caffe_pb2.py │ │ │ ├── get-protos.sh │ │ │ ├── googlenet_prototxt_patch.diff │ │ │ ├── vgg_caffe.proto │ │ │ ├── vgg_caffe_pb2.py │ │ │ └── vgg_synset_words.txt │ │ │ ├── simplenn_caffe_compare.m │ │ │ ├── simplenn_caffe_deploy.m │ │ │ ├── simplenn_caffe_testdeploy.m │ │ │ ├── test_examples.m │ │ │ └── tidy_ref_models.m │ ├── note.txt │ ├── packages │ │ ├── denoiser │ │ │ ├── BM3D │ │ │ │ └── VBM4D │ │ │ │ │ ├── Legal_Notice.txt │ │ │ │ │ ├── README_VBM4D.txt │ │ │ │ │ ├── demo_denoising.m │ │ │ │ │ ├── demo_denoising_traffic.m │ │ │ │ │ ├── read_video.m │ │ │ │ │ ├── vbm4d.m │ │ │ │ │ ├── vbm4d_thr_mex.mexa64 │ │ │ │ │ ├── vbm4d_thr_mex.mexmaci64 │ │ │ │ │ ├── vbm4d_thr_mex.mexw64 │ │ │ │ │ ├── vbm4d_wie_mex.mexa64 │ │ │ │ │ ├── vbm4d_wie_mex.mexmaci64 │ │ │ │ │ └── vbm4d_wie_mex.mexw64 │ │ │ ├── FFDNet │ │ │ │ ├── Demo_AWGN_Gray.m │ │ │ │ ├── ffdnet_imdenoise.m │ │ │ │ ├── ffdnet_vdenoise.m │ │ │ │ ├── models │ │ │ │ │ └── FFDNet_gray.mat │ │ │ │ └── utilities │ │ │ │ │ ├── Cal_PSNRSSIM.m │ │ │ │ │ ├── data_augmentation.m │ │ │ │ │ ├── figs │ │ │ │ │ ├── David_Hilbert.jpg │ │ │ │ │ └── Frog.gif │ │ │ │ │ ├── modcrop.m │ │ │ │ │ ├── shave.m │ │ │ │ │ ├── vl_ffdnet_concise.m │ │ │ │ │ ├── vl_ffdnet_matlab.m │ │ │ │ │ ├── vl_nnSubP.m │ │ │ │ │ ├── vl_randnm.m │ │ │ │ │ └── vl_simplenn.m │ │ │ ├── TV │ │ │ │ └── TV_denoising.m │ │ │ └── WNNM │ │ │ │ ├── wnnm_imdenoise │ │ │ │ ├── apg_partial │ │ │ │ │ ├── PROPACK │ │ │ │ │ │ ├── Afunc.m │ │ │ │ │ │ ├── AtAfunc.m │ │ │ │ │ │ ├── Atransfunc.m │ │ │ │ │ │ ├── Cfunc.m │ │ │ │ │ │ ├── bdsqr.m │ │ │ │ │ │ ├── bdsqr.mexglx │ │ │ │ │ │ ├── bdsqr.mexsg │ │ │ │ │ │ ├── bdsqr.mexsg64 │ │ │ │ │ │ ├── bdsqr.mexsol │ │ │ │ │ │ ├── bdsqr.mexw32 │ │ │ │ │ │ ├── bdsqr_mex.c │ │ │ │ │ │ ├── compute_int.m │ │ │ │ │ │ ├── dbdqr.f │ │ │ │ │ │ ├── helio.mat │ │ │ │ │ │ ├── lanbpro.doc │ │ │ │ │ │ ├── lanbpro.m │ │ │ │ │ │ ├── lanbpro.txt │ │ │ │ │ │ ├── laneig.doc │ │ │ │ │ │ ├── laneig.m │ │ │ │ │ │ ├── laneig.txt │ │ │ │ │ │ ├── lanpro.doc │ │ │ │ │ │ ├── lanpro.m │ │ │ │ │ │ ├── lanpro.txt │ │ │ │ │ │ ├── lansvd.doc │ │ │ │ │ │ ├── lansvd.m │ │ │ │ │ │ ├── lansvd.txt │ │ │ │ │ │ ├── mminfo.m │ │ │ │ │ │ ├── mmread.m │ │ │ │ │ │ ├── mmwrite.m │ │ │ │ │ │ ├── pythag.m │ │ │ │ │ │ ├── refinebounds.m │ │ │ │ │ │ ├── reorth.f │ │ │ │ │ │ ├── reorth.m │ │ │ │ │ │ ├── reorth.mexglx │ │ │ │ │ │ ├── reorth.mexsg │ │ │ │ │ │ ├── reorth.mexsg64 │ │ │ │ │ │ ├── reorth.mexsol │ │ │ │ │ │ ├── reorth_mex.c │ │ │ │ │ │ ├── test.m │ │ │ │ │ │ ├── testtqlb.m │ │ │ │ │ │ ├── tqlb.f │ │ │ │ │ │ ├── tqlb.m │ │ │ │ │ │ ├── tqlb.mexglx │ │ │ │ │ │ ├── tqlb.mexsg │ │ │ │ │ │ ├── tqlb.mexsg64 │ │ │ │ │ │ ├── tqlb.mexsol │ │ │ │ │ │ ├── tqlb_mex.c │ │ │ │ │ │ └── update_gbound.m │ │ │ │ │ ├── choosvd.m │ │ │ │ │ ├── partial_proximal_gradient_rpca2.m │ │ │ │ │ └── pos.m │ │ │ │ ├── blockmatch.m │ │ │ │ ├── im2patch.m │ │ │ │ ├── neighborind.m │ │ │ │ ├── paraconfig.m │ │ │ │ ├── patch2im.m │ │ │ │ ├── patchestimate.m │ │ │ │ ├── rpca.m │ │ │ │ ├── test_wnnm_imdenoise.m │ │ │ │ ├── wnnm.m │ │ │ │ └── wnnm_imdenoise.m │ │ │ │ └── wnnm_vdenoise │ │ │ │ ├── matchpatneighbor.m │ │ │ │ ├── neighborind.m │ │ │ │ ├── nnm.m │ │ │ │ ├── patch2v.m │ │ │ │ ├── test_wnnm_vdenoise.m │ │ │ │ ├── v2patch.m │ │ │ │ ├── vblockmatch.m │ │ │ │ ├── vdefparaconf.m │ │ │ │ ├── vparaconfig.m │ │ │ │ ├── vpatchestimate.m │ │ │ │ ├── wnnm.m │ │ │ │ ├── wnnm_vdenoise.m │ │ │ │ └── wnnm_vdenoise_par.m │ │ └── readme.md │ ├── readme.md │ ├── test_pnpsci_data.m │ ├── test_pnpsci_data_exp.m │ ├── test_pnpsci_data_largescale.m │ ├── test_pnpsci_data_test.m │ ├── test_pnpsci_meas_exp.m │ ├── test_pnpsci_meas_test.m │ ├── test_pnpsci_orig.m │ ├── test_pnpsci_orig_combineMask.m │ ├── test_pnpsci_orig_exp.m │ ├── test_pnpsci_orig_test.m │ ├── tests │ │ ├── test_pnpsci_benchmark_full.m │ │ ├── test_pnpsci_largescale_full.m │ │ └── test_pnpsci_meas_full_test.m │ ├── toolbox.mlx │ └── utils │ │ ├── A_xy.m │ │ ├── At_xy_nonorm.m │ │ ├── ffdnet_denoiser.mat │ │ ├── gradf.m │ │ ├── imnorm.m │ │ ├── tight_subplot.m │ │ ├── vdemosaic.m │ │ └── write_video.m └── python │ ├── .gitignore │ ├── dataset │ ├── data │ │ └── data_traffic_256_10f.mat │ ├── mask │ │ ├── binary_mask_256_10f.mat │ │ └── gray_mask_256_10f.mat │ └── orig │ │ └── traffic_256.mat │ ├── environment.yml │ ├── info_log.txt │ ├── joint_pnp_sci_algo.py │ ├── packages │ ├── .gitignore │ ├── __init__.py │ ├── colour_demosaicing │ │ ├── __init__.py │ │ ├── bayer │ │ │ ├── __init__.py │ │ │ ├── demosaicing │ │ │ │ ├── __init__.py │ │ │ │ ├── bilinear.py │ │ │ │ ├── malvar2004.py │ │ │ │ ├── menon2007.py │ │ │ │ └── tests │ │ │ │ │ ├── __init__.py │ │ │ │ │ ├── test_bilinear.py │ │ │ │ │ ├── test_malvar2004.py │ │ │ │ │ └── test_menon2007.py │ │ │ ├── masks.py │ │ │ ├── mosaicing.py │ │ │ └── tests │ │ │ │ ├── __init__.py │ │ │ │ ├── test_masks.py │ │ │ │ └── test_mosaicing.py │ │ └── examples │ │ │ └── examples_bayer.ipynb │ ├── fastdvdnet │ │ ├── README.md │ │ ├── dataloaders.py │ │ ├── dataset.py │ │ ├── fastdvdnet.py │ │ ├── im2videos.py │ │ ├── log.txt │ │ ├── model.pth │ │ ├── model_gray.pth │ │ ├── models.py │ │ ├── net.pth │ │ ├── test_fastdvdnet.py │ │ ├── train_common.py │ │ ├── train_fastdvdnet.py │ │ └── utils.py │ └── ffdnet │ │ ├── .ipynb_checkpoints │ │ ├── models-checkpoint.py │ │ └── test_ffdnet_ipol-checkpoint.py │ │ ├── README.txt │ │ ├── basicblock.py │ │ ├── dataset.py │ │ ├── functions.py │ │ ├── models.py │ │ ├── models │ │ ├── ffdnet_color.pth │ │ ├── net_gray.pth │ │ └── net_rgb.pth │ │ ├── network_ffdnet.py │ │ ├── prepare_patches.py │ │ ├── requirements.txt │ │ ├── test_ffdnet_ipol.py │ │ ├── train.py │ │ └── utils.py │ ├── pnp_sci_algo.py │ ├── pnp_sci_demo.ipynb │ ├── pnp_sci_demo_bayer.py │ ├── pnp_sci_demo_grayscale.py │ ├── pnp_sci_demo_kobe.py │ ├── pnp_sci_test_data.py │ ├── pnp_sci_test_data_realexp.py │ ├── pnp_sci_test_data_realexp_blkproc.py │ ├── pnp_sci_test_meas.py │ ├── pnp_sci_test_orig.py │ ├── pnp_sci_test_orig_cli.py │ ├── pnp_sci_test_orig_cliRun.py │ ├── pnp_sci_test_orig_rgb.py │ ├── readme.md │ └── utils.py ├── README.md ├── RevSCI-net ├── dataLoadess.py ├── models.py ├── my_tools.py ├── readme.md ├── test.py ├── test │ ├── aerial32_cacti.mat │ ├── crash32_cacti.mat │ ├── drop8_cacti.mat │ ├── kobe_cacti.mat │ ├── runner8_cacti.mat │ └── traffic_cacti.mat ├── train.py ├── train │ └── mask.mat └── utils.py ├── [analysis] ├── SCI reconstruction analysis.md └── result_analysis.mlx ├── [dataset] ├── #benchmark │ ├── real_data │ │ └── E2E-CNN │ │ │ ├── _note.txt │ │ │ ├── mask.mat │ │ │ ├── meas_duomino_cr_10.mat │ │ │ ├── meas_duomino_cr_20.mat │ │ │ ├── meas_duomino_cr_30.mat │ │ │ ├── meas_duomino_cr_40.mat │ │ │ ├── meas_duomino_cr_50.mat │ │ │ ├── meas_hand_cr_10.mat │ │ │ ├── meas_hand_cr_20.mat │ │ │ ├── meas_hand_cr_30.mat │ │ │ ├── meas_hand_cr_40.mat │ │ │ ├── meas_hand_cr_50.mat │ │ │ ├── meas_pendulumBall_cr_10.mat │ │ │ ├── meas_pendulumBall_cr_20.mat │ │ │ ├── meas_pendulumBall_cr_30.mat │ │ │ ├── meas_pendulumBall_cr_40.mat │ │ │ ├── meas_pendulumBall_cr_50.mat │ │ │ ├── meas_waterBalloon_cr_10.mat │ │ │ ├── meas_waterBalloon_cr_20.mat │ │ │ ├── meas_waterBalloon_cr_30.mat │ │ │ ├── meas_waterBalloon_cr_40.mat │ │ │ └── meas_waterBalloon_cr_50.mat │ └── simu_data │ │ ├── #large_scale.txt │ │ └── PnP-SCI_xinyuan │ │ ├── _note.txt │ │ ├── aerial.mat │ │ ├── crash.mat │ │ ├── drop.mat │ │ ├── kobe.mat │ │ ├── runner.mat │ │ └── traffic.mat ├── #code │ ├── binary_mask.m │ ├── data_simulation_handcraft.mlx │ ├── data_simulation_totalflow.mlx │ ├── gen_data.m │ ├── gen_mask.m │ ├── gen_orig_dataset.m │ ├── gray_mask.m │ ├── mat2version.m │ └── shift_mask.m ├── real_data │ └── CACTI.txt └── simu_data │ ├── #large-scale.txt │ ├── data │ └── bm_256_10f │ │ ├── data_aerial.mat │ │ ├── data_crash.mat │ │ ├── data_drop.mat │ │ ├── data_kobe.mat │ │ ├── data_runner.mat │ │ └── data_traffic.mat │ ├── mask │ ├── binary_mask_256_10f.mat │ ├── binary_mask_256_8f.mat │ └── gray_mask_256_10f.mat │ └── orig │ └── benchmark_256 │ ├── aerial.mat │ ├── crash.mat │ ├── drop.mat │ ├── kobe.mat │ ├── runner.mat │ └── traffic.mat ├── [toolbox] ├── image2patch_v2 │ ├── demo.m │ ├── einstein.bmp │ ├── image2patches.m │ ├── patches2image.m │ └── tower.jpg ├── realexp_tools │ ├── mask_analysis │ │ ├── corr_group.m │ │ ├── corr_masks.m │ │ ├── mask_analysis.mlx │ │ └── matrix_corr.m │ ├── mask_gen │ │ ├── ChessBoard_gen.m │ │ ├── binary_mask.m │ │ ├── checkerboard │ │ │ ├── cheesBoard1.bmp │ │ │ ├── cheesBoard2.bmp │ │ │ └── cheesBoard3.bmp │ │ ├── cyl.m │ │ ├── gen_multiplex_pattern.m │ │ ├── mask_enlarge.m │ │ ├── multiplex_matrix.m │ │ ├── multiplex_pattern_design.mlx │ │ └── sector.m │ ├── post_proc │ │ ├── [zb_zzh] postproc_patch2img.m │ │ ├── denoiser │ │ │ └── put ffdnet_denosier_opt here.txt │ │ ├── mat2tif.mlx │ │ └── recon_denoising.mlx │ ├── pre_proc │ │ ├── [zb_zzh] preproc_data2mat.m │ │ ├── aver_img.mlx │ │ ├── blkcolfun.m │ │ ├── data2patch.mlx │ │ ├── data_Bined.mlx │ │ ├── data_calib.mlx │ │ ├── mask_binning.mlx │ │ ├── mask_calib.mlx │ │ ├── mask_calib_test.mlx │ │ ├── patch_proc.mlx │ │ ├── scene_calib.mlx │ │ ├── scene_calib_test.mlx │ │ └── util │ │ │ ├── im2patches.m │ │ │ ├── matrix_corr.m │ │ │ ├── patch_idx_map.m │ │ │ └── patches2im.m │ └── system_test │ │ ├── camera_test.mlx │ │ ├── data_test.mlx │ │ └── system_test.mlx ├── result_show │ ├── illustrating │ │ ├── extract_frame.mlx │ │ └── get_meas_img.mlx │ ├── mat2video.m │ ├── sciMatRes2Video.m │ └── video2mat.m └── simuexp_tools │ ├── analysis │ ├── corr_group.m │ ├── corr_masks.m │ ├── mask_analysis.mlx │ ├── matrix_corr.m │ └── result_analysis.mlx │ ├── dataset_generation │ ├── gen_multiframe_dataset.m │ └── run_gen_multiframe_dataset.m │ └── mask_generation │ ├── binary_mask.m │ ├── cyl.m │ ├── data_simulation_handcraft.mlx │ ├── data_simulation_totalflow.mlx │ ├── gen_mask.m │ ├── gray_mask.m │ ├── mask_enlarge.m │ ├── multiplex_mask.m │ ├── multiplex_matrix.m │ ├── multiplex_pattern_design.mlx │ ├── sector.m │ └── shift_mask.m └── [utils] ├── band_matrix.m └── mat2version.m /.gitattributes: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Scientific-Research-Resource/SCI-algorithms/HEAD/.gitattributes -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/Scientific-Research-Resource/SCI-algorithms/HEAD/.gitignore -------------------------------------------------------------------------------- /BIRNAT/#toolbox/RNN_SCI_result_analysis.mlx: 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