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说明：  利用稀疏表示 omp k-svd训练字典的方法，实现了图像去噪(The sparse representation of OMP k-svd training dictionary is used to realize Image Denoising)

图形界面计算psnr和ssim，直接输入原始图像和处理后的图像的psnr和ssim值，分别在Y通道和RGB通道(The graphical interface calculates PSNR and ssim, and directly inputs the PSNR and SSIM values of the original image and the processed image in Y channel and RGB channel, respectively)

对图像进行滤波，顶帽变换并计算中心，有图片，可直接运行。(The image filtering, top-hat transform and Computing Center, there are images which can be directly run.)

用于显著性检测的对比算法SP的MATLAB版本，比较新的是2013年的，亲测可用(MatLAB version of SP, a contrast algorithm for saliency detection, is relatively new in 2013, and pro-test is available.)

对于iOS图像旋转，精选ios学习编程源码，很好的参考资料。(For iOS image rotation, selection of learning IOS programming source code, a good reference.)

计算机与机器视觉：理论，算法与实践，第四版；E. R. DAVIES 著；高清文字版(Computer and Machine Vision:Theory, Algorithms,Practicalities Fourth Edition E. R. DAVIES)

说明：  自己用python复现的NL-mean去噪，备注比较详细，便于理解原理； 之后会尝试复现更多图像领域的经典论文(The NL-mean reproduced by Python is used to denoise the noise. The notes are detailed and easy to understand the principle. We will try to reproduce more classical papers in the field of image.)

图像巴特沃斯陷波器，实现了简单的巴特沃斯陷波器滤除图像的某些频率的干扰(Image Butterworth notch filter, to achieve a simple Butterworth notch filter to filter out images of certain frequency interference)

该程序主要实现图像的无损压缩，具体算法包括： （1）整数小波变换＋SPIHT无损压缩 其中整数小波可以采用JPEG2000提供的5－3小波，也可以采用S＋P变换，本程序均已给出。 （2）DPCM＋算术编码 DPCM采用的是JPEG中采用的方法； （3）JPEG－LS标准 JPEG－LS的无损压缩性能非常好，超过JPEG2000。(The program mainly realize lossless image compression, the specific algorithm include: (1) integer wavelet transform SPIHT Integer Wavelet lossless compression which can be used to provide the 5-3 wavelet JPEG2000, can also adopt the S P transform, the procedures are given. (2) DPCM arithmetic coding DPCM is used in JPEG methodology (3) JPEG-LS standard JPEG-LS lossless compression of very good performance, more than JPEG2000.)

抽取子图像: 通过一个随机混沌标签序列从原图像中抽取 对子图像加密:小波变换 ,在高频部分加密 重构原图，把加密好的子图像重新放回到原图像中 (from sub-images : a random chaotic sequence label from the original image from a tradition image encryption : wavelet transform, the high-frequency part of remodeling the maximum encryption, encrypted good son to re-up images back to the original image)