M a t l a b 在图像处理中应用的各种函数集，做图像处理的查询很方便...

基于LSB数字水印的研究，是本人数字水印论文里面的其中一段代码，作为一个实例研究，可以得到简单的效果-LSB-based study of digital watermarking, digital watermarking is the thesis which I am one of the section of code, as a case study, the effect can be easy

图形应用、界面设计、图形处理、数值分析的一些实例，是学习matlab的极大帮手。 -Graphics applications, interface design, graphics processing, numerical analysis of some examples is a great help to learn matlab.

多尺度的光谱图像分割，有对应的论文和matlab及c++代码-Multiscale spectral image segmentation, there are papers and the corresponding matlab and c++ code

该程序将三幅混合图像用FastICA算法进行分割

改进后的矩阵用来操作VC中的类，非常好用。-The improved matrix used in the operation of VC-type, very easy to use.

：由于许多传统的去噪方法在强背景噪声情况下提取声音信号的能力变弱甚至失效， 提出 应用独立成分分析( I C A) 方法对声音信号进行特征提取， 并证明了这种 I C A 变换能增强语音和音 乐信号的超高斯性． 在此基础上， 应用 I C A基函数作为滤波器， 通过阈值化的去噪方法对含有强高 斯背景噪声的声音信号进行去噪仿真实验． 结果表明， 本方法明显优于传统的均值滤波和小波去噪 方法， 为强背景噪声下弱信号的检测提供 了新的途径．-: As many of the traditional de-noising method in case of strong background noise, the ability to extract the voice signal even weaker failure, the application of independent component analysis (ICA) method of voice signal feature extraction, and prove that this transformation can be enhanced voice ICA and music of super-Gaussian signals. On this basis, the application of ICA basis function as a filter, through the threshold of the denoising method of Gaussian background noise contains strong voice signal denoising simulation. The results show that this method is obviously superior to the traditional mean filtering and wavelet denoising methods for the strong background noise under the weak signal detection provides a new way.

用matlab对图像进行增强 包括直方图均衡化 直方图匹配 邻域平均等-using Matlab to enhance the images include histogram equalization histogram matching an average neighborhood

VC++ MFC编的数字图像处理程序源代码 包括图像反转 模板卷积 中值滤波等 由于时间有限为全部完成 希望大家在源程序上基础上添加程序 进一步增加程序功能-Image Processing1.0

脆弱及半脆弱水印论文10篇，包括用于图像认证的水印，文本水印，音频水印的论文-Weak and semi-fragile watermarking papers 10, including those for image authentication watermark, text watermarking, audio watermarking papers

Perlin Noise Simulator