HVS

说明：  matlab图像融合，对一幅图像的RGB三通道分别做不同的处理，然后重新融合(Matlab image fusion, an image of RGB three channels to do different processing, and then re-fusion)

some fast feature extraction algorithms are addressed for joint retrieval of images compressed in JPEG and JPEG2000 formats. In order to avoid full decoding, three fast algorithms that convert block-based discrete cosine transform (BDCT) into wavelet transform are developed, so that wavelet-based features can be extracted from JPEG images as in JPEG2000 images.

张正友标定算法，包含自己的测试图片以及实验分析。(Zhang Zhengyou calibration algorithm, contains its own test images and experimental analysis.)

粒子滤波算法比较,不同的建议分布下，粒子滤波的性能差异，包括精度与时间(the comparision)

细节增强的直方图均衡法，在增强图像对比度的同时还能保留细节细心，避免了细节吞噬现象(Detail enhancement, histogram equalization, but also retained the same time enhance the image contrast details carefully, to avoid the details of phagocytosis)

说明：  运动补偿编码 matlab 源码 希望给大家有帮助(Motion compensation coding matlab Source want to give you help)

本代码是完成傅里叶梅林变换对图像的旋转剪切。没有嵌入水印。(The code is complete Fourier Mellin transform of the image rotation shear. No embedded watermark.)

基于最大流最小割定理的图像分割,里面有一个例子，(Image segmentation based on maximum flow minimum cut theorem)

说明：  几种图像融合评价指标，AG,EN,FMI,MI,Qab,Qw,SF,SSIM，即平均梯度AG、信息熵EN、特征互信息FMI、互信息MI、边缘信息保持量Qab、加权融合质量评价因子Qw、空间频率SF和相似性指数SSIM。能较好的描述图像融合结果，稳定性较好。(Several evaluation indexes of image fusion, Ag, en, FMI, MI, qAB, QW, SF, SSIM, namely average gradient AG, information entropy En, feature mutual information FMI, mutual information MI, edge information retention qAB, weighted fusion quality evaluation factor QW, spatial frequency SF and similarity index SSIM. It can describe the result of image fusion well and has good stability.)

1.设计一个程序，对一幅灰度图像的实现如下几何变换,1)放大为原图1.5倍 2)绕中心旋转30度(CW) 3)采用偏移量插值实现一个透视变换. 灰度差值用最近邻插值和双线性插值 2. 绘制一幅灰度图像的梯度幅度图像（三点法求梯度），针对梯度幅度图像合理的选择一个阈值（通过试验即可）将其二值化，以获得图像边缘检测图像。 ((1) design a program, a grayscale image as geometric transformation, zoom 1) for 1.5 times the original 2) around the center of rotation of 30 degrees (CW) 3) interpolation of the offset to achieve a perspective transformation.gray level difference between the nearest neighbor interpolation and bilinear interpolation (2) draw a grayscale image of the gradient magnitude image (three-point method seeking gradient), the gradient magnitude image is reasonable to select a threshold value (the test can be) the second value to the image edge detection image.)