搜索资源列表
图像处理算法
- rar压缩包 其中包含Alphat透明合成系统源代码源代码，JPEG压缩编码系统源代码，腐蚀-膨胀-细化算法源代码，图案抖动技术处理系统源代码，图象边沿检测-提取-轮廓跟踪算法源代码，图象几何变换算法源代码，图象模板匹配算法源代码，图象平滑处理系统源代码，图像雾化处理程序源代码，图形色彩量子化及材质压缩程序源代码，直方图修正-彩色变换算法源代码-rar compressed packets containing Alphat transparent Synthesis System sour
tuxiangchuli2006
- alpha_2.09.zip Alphat透明合成系统源代码源代码 jpeg_0.77.zip JPEG压缩编码系统源代码 calir_1.0.zip 腐蚀-膨胀-细化算法源代码 mkou_1.0.zip 图案抖动技术处理系统源代码 touch_1.01.zip 图象边沿检测-提取-轮廓跟踪算法源代码 xchange_1.03.zip 图象几何变换算法源代码 sima_1.07.zip 图象模板匹配算法源代
LCYJpeg
- 这是一个JPEG文件的编码程序，没有任何开发包，全部是算法实现-This is a JPEG coding procedures, no development kits, all Algorithm
SSAPI
- VC视频显示编码项目，对视频的OVER LAYDY等显示和endocode,disconde的算法等-VC video display coding projects, such as video display and OVER LAYDY endocode, disconde the algorithm
PDCM
- JPEG图像编码里面的PDCM算法实现（预测差值编码）-JPEG Image Coding Algorithm PDCM inside (forecast difference coding)
Player+Demo+Source
- 本解码器类支持普通jpeg文件格式，这也是目前大多数jpeg文件所采用的格式，此格式主要特点是数据精度为8位，采用Huffman编码的普通DCT帧（不支持扩展串行和递进模式及数学编码）。本解码器类的IDCT算法采用三种模式，分别是浮点解码、定点整数解码和定点整数MMX优化解码，您可根据具体情况选择。-The decoder supports the general category jpeg file format, which is most used in jpeg file format
EZW
- 该源码是书《Visual C++实现MPEG JPEG编解码技术》第三章实现EZW零树编码的算法实现-The source is the book " Visual C++ to achieve MPEG JPEG codec technology" Chapter III to achieve EZW zerotree coding algorithm
LLCPLiblinear
- locality-constrained linear coding (LLC) algorithm follows the standard descr iptor coding + spatial pooling strategy to extract features from the image, and the Library for Large Linear Classification
nsf5_simulation
- This program simulates the embedding impact of the steganographic algorithm nsF5 [1] as if the best possible coding was used. Please, visit the webpage http://dde.binghamton.edu/download/nsf5simulator for more information.-This program simul
jpg
- The aim of this short workshop is to demonstrate the effectiveness of the JPEG encoding/decoding process using test data and test images. As explained in the lectures the major elements of the JPEG encoding process are the DCT, the non-uniform Quanti
Abspeecessing
- A fast connected component labeling algorithm based on FPGA is presented for high speed image processing on the condition that the images are continuous without horizontal blanking. Using run length code to optimize image labeling, the labels’num