节点文献
DPCM系统中基于量化预测值的图像无损压缩
Image′s Lossless Compress Based on Quantity Value in DPCM System
【摘要】 在超光谱图像和医学图像压缩的领域中,要求这些压缩是无损的,基于预测的方法一直是图像无损压缩的理论框架。在传统无损压缩的模型上,给出了一种有效的预测和量化算法,并结合算术编码对图像进行压缩,实验证明该算法兼有JPEG-JS预测器和Pirsch预测器的优点,有着较好的压缩性能,且算法简单、易于实现。
【Abstract】 In the field of over spectrum image and medical image compression,compression must be lossless.The method based on prognosticated is always the theory frame of image′s lossless compress.This article lists an effective theory to prognosticate,quantity and compresses the image with arithmetic coding.Experiments prove that this theory have both the advantages of JPEG-JS prognosticator and Pirsch prognosticator,better compress capacity.This theory is very simple and easy to achieve.
【关键词】 DPCM;
预测编码;
图像压缩;
算术编码;
【Key words】 DPCM; predictive coding; image compression; arithmetic coding;
【Key words】 DPCM; predictive coding; image compression; arithmetic coding;
- 【文献出处】 现代电子技术 ,Modern Electronics Technique , 编辑部邮箱 ,2007年16期
- 【分类号】TP391.41
- 【被引频次】5
- 【下载频次】244