搜索资源列表
DrakeDCT050629B
- DCT离散余弦变换编码和解码，利用vc对bmp图像实行变换，可以对变换和恢复后的结果进行保存和观看比较结果-the program of DCT coding and decoding.It is used to transform bmp to jpg.you can compare the original bmp to transformed jpg
decodec
- 分层多描述解码 由编码程序分出的两个码流 可由此程序恢复原图像-hierarchical coding process by decoding the separation of the two bitstream This procedure can restore the original image
ImageCoding
- 可以实现图像霍夫曼编码,香家费诺编码,算术编码,游程编码,位平面编码,预测编码,在编码过程中会显示被压缩图像的各个参数(压缩比,码长,信噪比等),并有图像恢复功能.-Huffman code can achieve images, Fenno House Shannon coding, arithmetic coding, run-length coding, bit plane coding, predictive coding, in the process of encoding comp
ImageCompression
- 图像进行小波分解后，对于相对来说不重要的高频成份采用较高的阈值，进行高压缩；而对集中图像大部分能量的低频成分采用较小阈值，以确保图像恢复时的质量-Image Compression
TP
- TP 压缩一用于图像的压缩 拐点压缩 失真小 恢复快-TP compression for image compression of a knee compression distortion and rapid recovery
cs_lena
- 该程序利用余弦变换对图像进行变换压缩，之后利用压缩传感对其进行恢复，最后给出了恢复图像与原图像的对比结果。-The program utilizes the cosine transform image transform compression, followed by the use of compressed sensing to restore Finally, restore the image and the original image contrast results.
Construct-for-Compressed-Sening
- 一系列压缩感知（CS）的重构算法。 图像恢复-A series of compression-aware (CS) reconstruction algorithm. Image restoration
Daubechie_wavelet_ImageRecover
- 采用Daubechie小波，构建正交矩阵，对bmp图像进行小波变换后的基本重建恢复，需要下采样，压缩为64*64以下的图像，重构图像与原图基本一致。-Daubechie wavelet to construct the orthogonal matrix, bmp image to restore the basic reconstruction after wavelet transform, sampling, compressed into less than 64* 64 images,
OMP
- 一个对于一维正弦信号的压缩感知恢复算法（正交匹配追踪发）的matlab程序，并绘出恢复图像对比原始图像，且计算出重构误差-A recovery image contrast for the one-dimensional sine signal compression the perceived recovery algorithm (orthogonal matching pursuit fat) matlab program, and draw the original image, and
BAOMP
- BAOMP算法，近来热门压缩解压技术——压缩传感的实现算法。此代码为作者原创，可实现对图像的小波变换，压缩传感和恢复。-BAOMP algorithm, recently popular compression decompression technology- Compressed sensing algorithm. This code is the original authors, can be realized on the wavelet transform, compressed
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
dct
- DCT图像压缩：此源代码变换域系数选取采用区域编码，通过非零区域的选择，呈现不同的恢复效果-DCT image compression: This source code transform domain coefficients using the selected coding region, by choosing a non-zero area, showing the effect of different recovery
DCTyuzhi
- DCT变换：变换域系数选取采用阈值编码，：阈值越小，图像恢复效果越好，但压缩效果差，一般取在5-10 即可很好的获得恢复图像信息。-DCT transform: transform domain coefficients selected using the threshold coding: the smaller the threshold value, the better the image restoration, but the compression is poor, and ge
CSFrequencysparse
- 当前压缩感知很热，这是其中稀疏采样、重新构建、图像恢复的Matlab代码-CS Frequency sparse
Huffman256
- 【实现功能】 （1）对256色BMP图像进行Huffman编码以达到压缩图像目的（编码文件保存为*_Huffman.bhd / *_Huffman.bpt） （2）对编码后的文件解码，恢复为256色BMP图像（解码文件保存为*_Decode.bmp）-[Function] to achieve (1) 256 color BMP images Huffman coding to achieve the purpose of the compressed image (save encod
TVNorm
- 磁共振图像重建中运用压缩感知的知识结合全变分（TV）的恢复算法-Magnetic resonance image reconstruction using compressed sensing knowledge combined total variation (TV) recovery algorithm
image-CS
- 基于CS的图像压缩解压，包括CoSaMP和OMP恢复算法，离散小波变换矩阵构造，具体对图像进行压缩解压-CS-based image compression and decompression, including CoSaMP and OMP recovery algorithms, discrete wavelet transform matrix structure, specifically for image compression and decompression
CPA-to-restore-image
- 用统计中的主成分分析思想对图像进行压缩，再用前几个主成分实现对程序的恢复。-Statistical analysis of the main components of thinking for image compression, and then the first few principal components to achieve the program s recovery.
Demo_Undersampling_FourierDomain
- 采用傅里叶降采样方法恢复MRI图像，压缩感知稀疏重构在核磁共振成像中的运用-Using Fourier down sampling method of MRI image restoration, the use of compressed sensing sparse reconstruction in magnetic resonance imaging.
test-images_1024
- 1024*1024的大分辨率的常用灰度测试图像，比较难找，可用于大分辨率图像的压缩恢复测试-1024* 1024 resolution, large common gray scale test image, more difficult to find, can be used to compress large image resolution recovery testing