小波在图像压缩中的应用  

Application of Wavelet Analysis in Image Compression

作　　者：程鹏举 陈西曲[1] 

机构地区：[1]武汉轻工大学电气与电子工程学院,湖北武汉430023

出　　处：《机械工程与自动化》2015年第3期35-36,39,共3页Mechanical Engineering & Automation

基　　金：湖北省自然科学基金资助项目(2011CHB030)

摘　　要：为了有效利用现代通信业务和信息处理中的宝贵资源,需要对图像信息进行压缩。由于图像所含的内容主要集中在低频部分,所以一般利用小波滤掉图像的高频部分来实现图像的压缩。小波包是在小波的基础上发展起来的,解决了小波对图像高频信息不能提取的弊病。实验表明:利用小波技术对害虫图像进行处理压缩,具有处理速度快、视觉效果好、保存了图像的主要数据等优点。Wavelet analysis is most widely used in the field of modern communication business and information, we need to image processing. In order to effectively use the valuable resources of compress the image information. Due to the content of an image con- tains mainly concentrates in the low frequency part of the image, the image compression is realized by filtering the high frequency part of the image through wavelet technology. Wavelet packet is based on wavelet, which perfectly solves the problem that wavelet can＇t pick up the high frequency information of the image. The experiment shows that the wavelet technology which is used for pest image compression has a lot of outstanding features, such as fast processing speed, good visual effect, etc.

关 键 词：小波分析 图像压缩 图像处理 

分 类 号：TN911.73[电子电信—通信与信息系统]