文件名称:bcs-spl-1.5-1.tar
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- 上传时间:2014-04-25
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一种适用于图像的压缩感知采样策略和重建算法,采样策略是基于块的图像稀疏采样矩阵,重建算法为smoothed projected Landweber(SPL)迭代算法。-BCS-SPL combines block-based compressed-sensing sampling (BCS) of an image with a smoothed projected-Landweber (SPL) iterative reconstruction. Sampling is driven by random matrices applied on a block-by-block basis, while the reconstruction is a variant of projected Landweber (PL) reconstruction (also known as iterative hard thresholding (IHT)) that incorporates a smoothing operation (Wiener filtering) intended to reducing blocking artifacts. In essence, this filtering operation imposes smoothness in addition to the sparsity inherent to PL.
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下载文件列表
BCS-SPL-1.5-1/
BCS-SPL-1.5-1/README
BCS-SPL-1.5-1/BCS_SPL_CT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_DCT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_DDWT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_DWT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_Encoder.m
BCS-SPL-1.5-1/BCS_SPL_GenerateProjection.m
BCS-SPL-1.5-1/DCT2D_Matrix.m
BCS-SPL-1.5-1/Images/
BCS-SPL-1.5-1/Images/barbara.pgm
BCS-SPL-1.5-1/Images/lenna.pgm
BCS-SPL-1.5-1/Images/peppers.pgm
BCS-SPL-1.5-1/Images/mandrill.pgm
BCS-SPL-1.5-1/Images/goldhill.pgm
BCS-SPL-1.5-1/LICENSE-GPL
BCS-SPL-1.5-1/PSNR.m
BCS-SPL-1.5-1/RMS.m
BCS-SPL-1.5-1/run_experiment_ct.m
BCS-SPL-1.5-1/run_experiment_dct.m
BCS-SPL-1.5-1/run_experiment_ddwt.m
BCS-SPL-1.5-1/run_experiment_dwt.m
BCS-SPL-1.5-1/README
BCS-SPL-1.5-1/BCS_SPL_CT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_DCT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_DDWT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_DWT_Decoder.m
BCS-SPL-1.5-1/BCS_SPL_Encoder.m
BCS-SPL-1.5-1/BCS_SPL_GenerateProjection.m
BCS-SPL-1.5-1/DCT2D_Matrix.m
BCS-SPL-1.5-1/Images/
BCS-SPL-1.5-1/Images/barbara.pgm
BCS-SPL-1.5-1/Images/lenna.pgm
BCS-SPL-1.5-1/Images/peppers.pgm
BCS-SPL-1.5-1/Images/mandrill.pgm
BCS-SPL-1.5-1/Images/goldhill.pgm
BCS-SPL-1.5-1/LICENSE-GPL
BCS-SPL-1.5-1/PSNR.m
BCS-SPL-1.5-1/RMS.m
BCS-SPL-1.5-1/run_experiment_ct.m
BCS-SPL-1.5-1/run_experiment_dct.m
BCS-SPL-1.5-1/run_experiment_ddwt.m
BCS-SPL-1.5-1/run_experiment_dwt.m
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