基于车载多媒体视音系统中图片压缩解压缩算法的研究

Study of compression algorithm based on images of car-mounted multimedia audion-visual system

对计算机屏幕图像的压缩一般是直接用传统的RLE,LZW或JPEG算法。以上算法对微控制器系统中图片压缩难以达到压缩比和压缩速度的兼顾。本文提出了一种多级分块压缩算法。首先将屏幕图片分成复杂图形块和简单图形块。然后对简单块采用无失真压缩算法,对复杂块采用有失真压缩算法压缩。解压缩时对不同的块分别用逆压缩算法进行解压缩,最后再把各个块复合成一副图片。试验证明,本文所提出的压缩算法对车载多媒体视音系统中图片压缩比较大,压缩和解压缩速度快,性能忧于传统的压缩算法。

Traditional compression algorithms of computer screen images are RLE,LZW or JEPG. The algorthms above can not meet the requirements of both the compression ratio and compression speed. A multi-sub-blocking compression algorithm is presented in this paper. First the screen image is divided into some simple and complex blocks , then the anamorphic compression algorithm is used to the simple blocks and the un-aunamorphic compression algorithm is used to the complex blocks;When the images is decompressed, the contrary algorithms is used to the relevant blocks; At last the blocks are compounded into a image. Result of experiments shows that textual multi-sub-blocking compression algorthm has higher compression ratio and higher compression speed than traditional compression algorithms.