taotao51

这个matlab程序实现了基于SPIHT多级树集合分裂的图像压缩算法。 (Matlab implementation of this procedure based on the SPIHT multi-level set to split the tree image compression algorithm.)

文本数字水印技术极富挑战性. 首先简述了文本的分 类 然后介绍了文本数字水印技术领域的主要研究成果和最新进展,包括基于文档结构、自然语言 处理技术和传统图像水印技术三类方法 从容量,鲁棒性,技术基础等方面比较了现有成果,分析了 各类方法的主要优缺点 最后在总结现有成果的基础上展望了文本数字水印技术的前景,指出了该 技术未来可能的研究重点以及待改进和研究的方向.(Text digital watermarking technology challenging, first outlined text points Class then presents the main findings and the latest developments in the field of text digital watermarking technology, including those based on document structure, natural language Processing technology and traditional method of image watermarking technology categories from the capacity, robustness, technology infrastructure and other aspects of the existing comparative results analyzed The main advantages and disadvantages of various types of methods finally summarize the results on the basis of the existing prospect foreground text digital watermarking technology, pointed out that Technology and possible future research priorities for improvement and research directions.)

说明：  本程序在EVC4.0+PPC SDK 2003下调试通过。用Independent JPEG Group发行的JpegLib进行Jpeg图像的读取与保存。(This procedure in EVC4.0+ PPC SDK 2003 adopted under the debugger. By Independent JPEG Group issued JpegLib to read Jpeg images and preservation.)

图像配准程序，包括角点提取，配对，提纯等操作(image registeration ,including connor detection,match and so on)

说明：  jm软件源码，用于流媒体编码标准H264的性能评测(jm-source software for streaming media encoding standard of the performance evaluation H264)

说明：  利用稀疏矩阵思想进行图像的超分辨率重建，效果较好。(Thinking of using sparse matrix for image super-resolution reconstruction, the effect is better.)

自适应算术编码的例子，使用的是整数算术编码(Examples of adaptive arithmetic coding, the use of integer arithmetic coding)

ccd图像检测程序。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。(ccd image detection program. . . . . . . . . . . . . . . . . . . . . . . . . . . . . .)

编程实现小波的边缘检测算法，对图片的边缘处理(Edge Detection Algorithms of Wavelet Based on Programming)

实现图像识别，基于小波变换实现图像特征提取，然后神经网络进行训练(The image recognition is realized, the image feature extraction is realized based on wavelet transform, and then the neural network is trained.)