多算法融合比较的图像文件索引压缩

近年来由于科技的发展和互联网的兴起,图像资料已被广泛地应用在网络上,而图像压缩不但可以节省图像资料占用的内存空间,并且可以加速其传输速度,因此图像压缩技术目前被广泛应用于医学、手机、数据传输、多媒体影音、互联网络等。这里主要是针对无失真的图像压缩技术,先将原始图像转成256色的GIF格式,然后再建立一个索引矩阵,矩阵中元素是由原色RGB信息对应所组成,利用索引矩阵排序法并配合编码簿,再加上配合LZW、CALIC、JPEG2000、JPEG-LS等不同压缩算法,来比较压缩的效果。

Index Compression for Multi-Algorithm Comparative Image Files

In recent years the network is rapidly grown,and images are extensively transmitted through the internet.To reduce transmission time and storage space,these image data are compressed.Data compression has been used for many applications like medical,cellular phone,data transmission,multimedia,lnternet and so on.So data compression technology is the most important topic to researeh.lt will investigate lossless compression techniques to compress the color images of GIF files.First it quantizes a full color images into the one of 256 colors GIF format and setting a index matrix, then varies kinds of compression techniques of index matrix sort,comblnation different algorithms,like LZW,CALIC, JPEG2000,JPEG-LS to compare with compressed effect.