optical_flow.tar

带通配符的字符串匹配,多重匹配,支持通配符“*”，“？”(String matching with wildcards, multiple matches, supports wildcards " *" , " ?" )

求解一个图像的曲率，程序完整，正确，可以用于图像处理(Solving an image of the curvature, the program complete, correct, can be used for image processing)

“一种用于夜间图像增强的算法”包括原文和程序实现并附有图像。其中‘ye’图效果最好。(A method for the night image enhancement algorithm, including the original and the program along with the image. Figure‘ye’the best.)

opencv SIFT源码详细分析，代码能够准确实现(opencv SIFT detailed analysis of the source code can achieve accurate)

给予matlab的JPEG压缩程序，包含原始压缩图片，程序对灰度bmp图片进行JEPG编码，压缩成以0101形式的编码。JPEG编码先把图象色彩RBG变成亮度Y和色度Cr、Cb，它利用人的视觉对色度不敏感的特点，减少一部分色度数据，以达到压缩。 JPEG采取多种编码方式，包含有行程编码(Run Length Coding)和哈夫曼(Huffman)编码，有很高的压缩比。在编码前，先对数据进行分块，离散余弦变换（DCT）及量化，保留能量大的低频信号，丢弃高频信号以达到压缩。(Given to the JPEG compression matlab program, contains the original compressed image, the program of the grayscale bmp picture JEPG encoded, compressed into a 0101 form of encoding. RBG color coded JPEG image into a first luminance Y and chrominance Cr, Cb, which uses the human visual characteristics is not sensitive to the color, reduce the number of color data to achieve compression. Take a variety of JPEG encoding, includes length coding (Run Length Coding) and Huffman (Huffman) coding, a high compression ratio. In the code before the data block, discrete cosine transform (DCT) and quantization, to retain a large low-frequency signal energy, discarding high-frequency signals in order to achieve compression.)

SSIM是衡量图像质量的另一个标准，比PSNR略好。此为计算图像SSIM的代码(SSIM is another measure of image quality, slightly better than PSNR. The code is to calculate SSIM.)

全变分程序，可以用来处理一维的信号去噪问题！！！！！(total variation)

介绍了不同非线性模型在随机共振中的应用，像饱和非线性，阈值非线性等(Describes the different nonlinear model of stochastic resonance in the application, such as nonlinear saturation threshold nonlinearity. . . .)

检测压力表的指针的角度信息，使用Hough变换的方法，去噪能力强。(Pressure gauge pointer is detected angle information, the use of Hough transform method, denoising ability.)

说明：  输入多幅图像实现帧间差分实现运动目标检测(Enter the number of inter-frame difference image realize realize moving target detection)