首页 | 本学科首页   官方微博 | 高级检索  
     

基于非线性提升小波的有损图像压缩及其优化
引用本文:范宇,胡访宇.基于非线性提升小波的有损图像压缩及其优化[J].计算机工程与应用,2004,40(24):94-96.
作者姓名:范宇  胡访宇
作者单位:中国科学技术大学电子工程与信息科学系,合肥,230027
摘    要:基于提升的小波变换结构简单,不需要额外的存储空间,易于实现,在图像压缩中具有很好的应用价值。文章对使用非线性算子(如最大值,最小值等)构造的非线性提升小波结合SPIHT编码算法在图像有损压缩方面的性能进行了分析。同时,提出了一种改进的非线性提升小波实现结构。实验表明,该实现结构应用在图像有损压缩时,恢复图像的峰值信噪比和主观视觉效果均有明显提高。

关 键 词:提升结构  非线性小波  图像编码  有损压缩
文章编号:1002-8331-(2004)24-0094-03

Optimization of Image Lossy Compression Based on Nonlinear Lifting Wavelet Transform
Fan Yu,Hu,Fangyu.Optimization of Image Lossy Compression Based on Nonlinear Lifting Wavelet Transform[J].Computer Engineering and Applications,2004,40(24):94-96.
Authors:Fan Yu  Hu  Fangyu
Abstract:Lifting wavelet transform has a simple structure,needs no more storage space and is very easy to be imple-mented,which is suitable for image compression.This paper tests the performance of a family of nonlinear lifting wavelet(such as max-lifting and min-lifting)with SPIHT codec.Meanwhile,it improves the structure of the nonlinear wavelet transform.The simulation shows that this improved structure can remarkably increase PNSR and visual effects of the image when it is implied on lossy compression.
Keywords:lift scheme  nonlinear wavelet transform  image coding  lossy compression
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号