基于最优基小波包的植物病害图像压缩算法  

Compression Algorithm for Plant Disease Image Based on Best Basis of Wavelet Packets

作　　者：冯登超[1,2] 乔晓军[1] 杜小鸿[1] 田宏武[1] 文俊峰[1] 

机构地区：[1]国家农业信息化工程技术研究中心,北京100089 [2]天津大学电信学院,天津300072

出　　处：《沈阳农业大学学报》2006年第3期274-277,共4页Journal of Shenyang Agricultural University

基　　金：农业部"948"项目(2003-Z59);北京市科技攻关项目(Z0005190040831)

摘　　要：针对现代温室中由于植物病害图像数据量庞大而产生的远程传输负荷过大等问题,分析了植物病害图像存在的数据冗余、视觉冗余等特性,提出了基于最优基小波包的压缩算法。简要介绍了小波包的构造方法及其压缩的基本原理,重点阐述了最优基的构建及病害图像压缩算法实现方法,并与小波变换的压缩方法进行比较。仿真试验表明:提出的算法在保证图像质量的同时能够有效的提高图像压缩性能。To solve the long-distance transmission load problems caused by enormous image data in modern greenhouse, the redundancy of data and vision existed in disease image were analysed. Accordingly, the compression algorithm based on best basis of wavelet packets was proposed. The construction of wavelet packets and the corresponding image compression theory were introduced briefly. The best basis was adopted to compress the plant disease image, which compared with the compression algorithm based on wavelet transform, Simulation experiment showed the compression algorithm proposed in the paper could improve the compressibility of plant diseasd image and acquire better image quality as well.

关 键 词：小波包 图像压缩 峰值信噪比 代价函数 最优基 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]