似图形图像序列压缩编码方案的研究

针对远程炒股、远程教学和远程协同工作中的计算机屏幕共享问题,提出了一种对似图形图像序列进行无损压缩的编码方案。首先将似图形图像转化成索引图像,然后对索引图像序列进行帧间行程编码和自适应预测Huffman编码,最后再对码流进行LZ77编码。实验表明,该方案能够有效地压缩似图形图像序列,与一般的无损图像编码方案相比,明显地提高了图像的压缩效率,压缩比可达到80:1以上。

Compression Scheme of Graphiclike Image Sequences

In order to realize the computer screen share in distant teaching,distant stocking and distant cooperation working,a compression scheme is proposed for graphiclike image sequences(GISS) in this paper.It first converts the graphiclike image to index image,then codes them with interframe run length algorithm and adaptive predictive Huffman algorithm,finally we code stream with LZ77 algorithm.The scheme employs the intrinsic characters of the GISS--the color distribution of the image mainly concentrates on few kinds of color and the pixels which have the same color are also adjacent in space.The result of computer simulation shows that our sheme can compress the GISS effectively and improves the compression ratio obviously relative to the traditional lossless compression algorithms.The most compression ratio is 80:1.