face-detection-gabor-master

2、掌握Lee滤波与Refined-Lee滤波滤波效果ENL/ESI分析的原理及方法； 3、分析比较Lee滤波与Refined-Lee滤波的滤波性能； 4、分析滤波窗口与滤波效果的关系。 (2, master the principles and methods of filtering and Refined-Lee Lee filter filtering effect ENL/ESI analysis 3. Comparative analysis filtering performance Refined-Lee Lee filter and filter 4, analysis filtering window and filtering effect relationship.)

很有用的彩色图像分割方法，经本人实验，绝对可靠(Very useful for color image segmentation method, by my experiment, absolutely reliable)

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)

说明：  对24位的彩色图像用中位切分(中位区分）法将其转换成8位索引图像，并且生成对应的颜色查找表。(median-cut algorithm,8-bit index map, lookup table,256 colors,)

Transferring color to greyscale images的原文及源代码，包括详细的测试图像以及相应的论文及源代码，是学习图像色采转移必看的经典内容。(Transferring color to greyscale images of the original text and source code, including detailed test image and the corresponding papers and source code is studying the image to see the classic color adopted transfer content.)

在idl环境下批量处理提取modis ndvi数据(the program can extract the ndvi data from modis ndvi product)

说明：  当前论文主要考虑的是非信号依赖的高斯噪声下的图像恢复，本程序实现了泊松噪声下的图像恢复，泊松噪声为信号依赖噪声，能够更加有效逼近实际成像系统噪声。( This is the code that was used in the papers "A Nonnnegatively Constrained Convex Programming Method for Image Reconstruction", "Total Variation-Penalized Poisson Likelihood Estimation for Ill-Posed Problems", "Tikhonov Regularized Poisson Likelihood Estimation: Theoretical Justification and a Computational Method", "An Efficient Computational Method for Total Variation with Poisson Negative-Log Likelihood", "An Analysis of Regularization by Diffusion for Ill-Posed Poisson Likelihood Estimation," "An Iterative Method for Edge-Preserving MAP Estimation when Data-Noise is Poisson", and finally, "Regularization Parameter Selection Methods for Ill-Posed Poisson Maximum Likelihood Estimation". See my publications page for more details. The main algorithm is for nonnegatively constrained, regularized Poisson likelihood estimation. At this point you can choose Tikhonov, total variation regularization, and diffusion regularization. A number of other methods are also implemented. Regularizatio)

Reversible data hiding in images

对SWAN输出文件进行数据处理及图像输出(SWAN output file, data processing and image output)

数学建模，动态模糊与模糊图像处理，维纳滤波方法。(Mathematical modeling, dynamic fuzzy and fuzzy image processing, Wiener filtering method.)