walsh

说明：  图像超分辨率是指从一序列低分辨率观测图像中重建高分辨率图像。图像超分辨率充分利用了各帧图像 间相似而又不同的信息。(Compared with the model derived from Kolmogorov spectrum, the new model introduces more complete transcendent constraints and is more similar to the physical characteristics of atmospheric turbulence.)

SSIM函数。一种衡量两幅图像相似度的新指标，其值越大越好，最大为1。(SSIM function. A measure of image similarity two new indicators, the greater its value better, a maximum of 1.)

基于形态学的滤波算法，tophat算法的matlab源代码即图片(Filtering algorithm based on morphology, tophat algorithm matlab source code for the image)

图片不规则变形源码，例程程序根据图片的计算，使用画板使图片不规则变形。(Pictures irregular deformation source , routine procedures according to the calculation of the picture, using the drawing board to make the image irregular deformation.)

图像分解算法，四种方法可选，包括threshold, K means threshold, region growing以及gradient based segmentation(Image decomposition algorithm, four methods available, including the threshold, K means threshold, region growing and gradient based segmentation)

画矩形的代码，包含各种算法，具体的自己看吧，这是图形处理的作业之一(Draw a rectangle of the code, contains a variety of algorithms, specifically for yourself, this is one of the graphics processing jobs)

matlab_基于象素的图像配准程序,很好使用,精度也很高,要用的就下载吧!(matlab_ pixel-based image registration procedures, a very good use, accuracy is also high on the download you want to use!)

应用harris算子进行角点检测，然后利用相关性检测得到匹配焦点，然后进行图像的重采样，适于对于彩色图像的处理，对于灰度图像，只要将harris算子检测时的图像从彩色道灰度图像的语句去掉即可(Application of operator harris corner detection, and then make use of relevant test match to be the focus, and then carried out resampling images, suitable for color image processing, for gray-scale images, as long as the operator will harris Detect when the image from color Road gray-scale images can be removed from the statement)

霍夫曼图像压缩编码，无损压缩，压缩率为2倍，压缩效果很好。(Image compression Huffman coding, lossless compression, the compression rate is 2 times the compression works well.)

用于运动人体的图像特征提取，提取的特征包括，高宽比，速度，紧密度，灰度共生矩阵，hu矩，主成分分析，离散余弦变化，图像的预处理等。(Image feature extraction for moving human body includes features such as aspect ratio, speed, tightness, gray level co-occurrence matrix, Hu moments, principal component analysis, discrete cosine transform, image preprocessing and so on.)