一种改进的噪声图像压缩算法

2009 International Symposium on Intelligent Ubiquitous Computing and Education Pub Date : 2009-05-15 DOI:10.1109/IUCE.2009.64

Jinxu Guo, Yong Chen

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引用次数: 1

摘要

针对带有噪声的数字图像的相关性差异，提出了一种基于第一滤波的JPEG压缩方法。实验结果表明，该方法在降低平均码长的同时，图像对象保真度优于经典的JPEG压缩方法。该算法具有编解码过程简单、速度快、误差小等优点。

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An Improved Image Compression Algorithm for Noise Image

A first filter further JPEG compression method is proposed to eliminate the Relevance discrepancy in the digital image with noise. The experimental results show that it can reduce the average code length while image object fidelity is superior to the classical JPEG compression method. It also demonstrated that this algorithm has some advantages that codec process being simple, fast and less error.

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来源期刊

2009 International Symposium on Intelligent Ubiquitous Computing and Education

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