搜索资源列表
bcs-spl-1.3-1.tar
- 分块压缩感知中稀疏表示增加方向性提高重构质量-Block compression to increase directional to improve the reconstruction quality perception in sparse
bcs-spl-1.2-1.tar
- 应用压缩感知理论的图像恢复Matlab算法代码-The application image compression perception theory Recovery Matlab algorithm code
ms-bcs-spl-1.2-2
- matlab code for image compressive sensing. block compressive sensing is used.
bcs-spl-dpcm-1.0-2.tar
- 压缩感知的差分量化,此代码是基于块的压缩感知量化，减少了bit率，对压缩感知的量化有起步作用。-compressed sending ，bcs-spl-dpcm
BCS-SPL-1.5-new
- Block-based random image sampling is coupled with a projectiondriven compressed-sensing recovery that encourages sparsity in the domain of directional transforms simultaneously with a smooth reconstructed image. Bo
bcs-spl-1.5-1
- 实现基于快的图像压缩感知恢复，对视频和图像进行重构实现视频图像的压缩和恢复-Achieve faster image compression based on perceived recovery, video and image reconstruction to achieve video compression and recovery
bcs-spl-1.5-1
- Block Compressed Sensing of Images Using Directional Transforms
mc-bcs-spl-1.0-1
- Multiscale Block Compressed Sensing with Smoothed Projected Landweber Reconstruction
bcs-spl-1.5-1.tar
- 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 reconstru
ms-bcs-spl-1.2-2.tar
- MS-BCS-SPL一种新的压缩感知重构算法,相比TVAL3要好的多-compressive senor
mc-bcs-spl-1.0-1.tar
- 基于运动补偿的压缩感知图像重构算法,这里采用分块重构的思想提高了重构的效率-Image reconstruction algorithm based on compressed sensing motion compensation
mh-bcs-spl-1.0-1.tar
- 基于时空相关性的分布式压缩感知多假设预测重构算法，能较好地改善视频序列的重建质量。-Based on spatial and temporal correlation MST703/705 multiple hypothesis prediction reconstruction algorithm can better improve the quality of reconstructed video sequence.
bcs-spl-1.5-1
- 实现图像分块压缩感知，实现了多种稀疏基下的压缩感知，包含CT、DCT、DDWT、DWT等(Realize the image compression sense, and realize a variety of sparse base compressed sensing, including CT, DCT, DDWT, DWT and so on)
mh-bcs-spl-1.0-1 (1).tar
- MH-BCS-SPL是一种多重假设版本的BCS-SPL，其重建是通过从相邻块中剔除多次预测产生的测量域残差驱动的。(MH-BCS-SPL is a multihypothesis version of BCS-SPL with reconstruction driven by the measurement-domain residual resulting from multiple predictions culled from n
bcs-spl-1.5-1 (1).tar
- BCS-SPL将图像的基于块的压缩感测采样（BCS）与平滑的投影Landweber（SPL）迭代重建相结合。采样是通过逐块应用随机矩阵来驱动的，而重建则是预期的Landweber（PL）重建（也称为迭代硬阈值（IHT））的变体，其结合平滑操作（维纳滤波）减少块效应。实质上，除了PL所固有的稀疏性之外，这种滤波操作还能提供平滑性。(BCS-SPL combines block-based compressed-sensing sampli
mc-bcs-spl-1.1-1.tar
- MC-BCS-SPL是BCS-SPL的运动补偿版本，采用视频的帧到帧残差重建。(MC-BCS-SPL is a motion-compensated version of BCS-SPL employing fr a me-to-fr a me residual reconstruction for video.)
ms-bcs-spl-1.2-2.tar
- MS-BCS-SPL是BCS-SPL的多尺度版本，它在小波变换的领域内部署了BCS。(MS-BCS-SPL is a multiscale version of BCS-SPL that deploys BCS within the domain of a wavelet transform.)
bcs-spl-dpcm-1.0-2 (1).tar
- BCS-SPL-DPCM将DPCM和均匀标量量化应用于BCS-SPL，以从BCS测量产生压缩比特流。(BCS-SPL-DPCM applies DPCM and uniform scalar quantization to BCS-SPL to produce a compressed bitstream from the BCS measurements.)