ch_8_4_3

这是二维图像去噪算法，C++版本，需自行配置工程使用(Image Denoising Method)

说明：  dct-svd域水印算法,实现数字水印图像在载体DCT-SVD域的隐藏(a kind of watermarking algorithm in DCT-SVD domain)

提取图像的zernike特征参数，这个程序较难，关键这个是带程序说明的，让你一目了然(Extract images zernike characteristic parameters, this procedure is more difficult, the key to this is with a description of the procedures, at a glance)

用哈夫曼算法对图像进行压缩， 1.颜色模式转换及采样； 2．DCT变换（离散余弦变换）； 3．量化；4．编码（有算术编码和哈夫曼编码两种，这里采用哈夫曼编码）

提出了一种结合USFFT Curvelet 变换的各向异性扩散图像去噪模型。它有机结合了Curvelet 变换和各向 异性扩散（P-M扩散）两者的优点。通过P-范数方法选择合适的梯度阈值K，P-M扩散过程通过处理经过Curvelet 变换得到的图像的不同尺度的Curvelet 系数矩阵，实现了建立在对图像多尺度分析的基础上的新P-M扩散模型。 实验表明，新模型的处理结果能有效避免传统P-M 扩散出现的阶梯效应，同时更好地保留图像的纹理和细节。 关键词：图像去噪算法；各向异性扩散；Curvelet 变换；P-M 扩散(Abstract: An image de-noising model by integrating anisotropic diffusion with USFFT Curvelet transform was proposed, which combined the strongpoint of Curvelet transform with anisotropic diffusion (P-M diffusion). By choosing appropriate gradient threshold K through p-norms and carrying out the P-M diffusion process depend on the different scale matrixes of Curvelet coefficient of the image from Curvelet transform iterations, as a result, the improved model made it possible to carry out the new P-M diffusion de-noising process based on multi-scale analysis of the image. The experiment results have demonstrated that the model can avert the stair-casing effect in the traditional P-M diffusion effectively and keep the textures and details of images better.)

数字图像处理，K-SVD字典学习方法，信号的稀疏与冗余表示理论，图像压缩，图像去噪(Digital image processing, K-SVD dictionary learning methods, sparse and redundant signal representation theory, image compression, image denoising)

对故障信号进行去噪，自己调试的程序，带注释(The fault signal to denoise, debug their own procedures, with notes)

有关图像融合的一个比较全的代码集合，有gui界面，可选择不同的处理图像方法融合图像(the image of a more integrated whole code set, a gui interface choice of different methods of image processing Image Fusion)

用模糊集方法进行图像增强，先对源图像做模糊化，然后在模糊平面上进行变换，最后再反模糊化，从而达到模糊集图像增强的目的。(Image enhancement using fuzzy set method, the first source image blurring, and then transform the fuzzy plane, and finally anti-blurring, so as to achieve the purpose of the fuzzy set of image enhancement.)

说明：  本程序是用来做图像编码的，主要采用的算术编码的思想(This procedure is used for image coding, the main idea used in arithmetic coding)