hsv

图像的反卷积 去卷积复原 效果还不错，欢迎下载(image deconvolution image restoration)

阐述压缩感知的基本原理，并通过压缩感知对图像进行复原处理(elucidate the compressed sensing theory )

ROF-L2去噪模型，可以有效的去除加性噪声(ROF-L2 denoising model)

图像特征隐写分析，用于分析图像是否含有秘密信息(Image feature steganalysis for the analysis of the image if it contains confidential information)

实现LLE算法，本算法是改进的LLE算法，主要是针对人脸图像的。()

sift特征点检测及匹配，matlab源码(sift feature point detection and matching, matlab source code)

功能很全的车牌识别系统，图像与处理，车牌定位，字符分割和字符识别等(Full license plate recognition system, image processing, license plate location, character segmentation and character recognition.)

1.图像去噪MATLAB仿真程序.m 2.图像点扩展函数获取MATLAB仿真程序.m 3.约束最小二乘法图像复原MATLAB仿真程序.m(1.the simulation of denoise. 2.the method to get psf. 3.controlled least squre method to deblur image.)

局部二进制模式，LBP，是已被用于纹理特征的一个 分类。在本文中，提出了一种基于使用这些功能的方法 检测缺陷图案的面料。在培训阶段，在第一个步骤LBP算子是 施加到无缺陷织物样品，逐个象素和参考的所有的行（列） 特征矢量的计算。那么这个图像被分为Windows和LBP算子是 应用这些窗口的每一行（列）。根据与参考比较 特征向量一个合适的阈值，无缺陷的窗户被发现。在检测阶段中，一个 测试图像被划分成的窗户，并使用阈值时，有缺陷的窗口可以 检测到。该方法简单，灰度不变。由于其简单性， 线上实现是可能的。(Local Binary Patterns, LBP, is one of the features which has been used for texture classification. In this paper, a method based on using these features is proposed for detecting defects in patterned fabrics. In the training stage, at first step LBP operator is applied to all rows (columns) of a defect free fabric sample, pixel by pixel, and the reference feature vector is computed. Then this image is divided into windows and LBP operator is applied to each row (column) of these windows. Based on comparison with the reference feature vector a suitable threshold for defect free windows is found. In the detection stage, a test image is divided into windows and using the threshold, defective windows can be detected. The proposed method is simple and gray scale invariant. Because of its simplicity, online implementation is possible as well. )

数字图像处理算法典型实例