【作者】 夏平； 向学军； 吉培荣；

【Author】 Xia Ping,Xiang Xue-Jun,Ji Pei-Rong (College of Electronic Engineering,China Three Gorges University,YiChang 443002,China)

【机构】 三峡大学电气信息学院；

【摘要】 嵌入式系统信息的存储受空间的限制,因此摄入的图像信息有必要进行压缩;传统的基于小波变换的压缩算法是将图像信息进行多尺度分解,直接去掉一层或若干层高频信息后再重建,该算法实现简洁、方便,但易丢失一些重要的高频信息。本文在传统算法的基础上结合嵌入式零树编码算法(EZW)思想,设定一浮动阈值,并以此作为判断是否丢弃小波系数的依据,从而尽可能地保留较重要的高频成分,同时又兼顾信息的压缩比,以此实现对图像信息的压缩。更多还原

【Abstract】 Embedded systematic information memory is restricted by space,so image that takes in information is necessary to compress.The image is transformed based on traditional Multi-resolution Analysis(MRA) wavelet compression algorithm,rebuilt after removed one or several layers of high-frequency information directly;The algorithm is realized being succinct,convenient,but it is easy to lose some important high-frequency details.This paper unites the embedded zerotree wavelet algorithm(EZW) on the basis of traditional algorithm,initializes fluctuating threshold,regards this as the basis of judgment,keeps the important material detail as much as possible,thus the algorithm realizes to the image information compression.更多还原