摘要
提出了一种对未知图像进行实时压缩处理的方法。本方法对未知图像通过适当的频谱分析,根据图像的频谱特性用BP(Back Propagation)神经网络进行模式匹配,选择最优的小波基对未知图像进行实时压缩处理。经过仿真,本文提出的方法使图像实时压缩处理的通用性得到了可行。
This paper introduced a unknown image compression processing method. This method made the proper frequent spectrum analysis of the unknown image, used the pattem match to choose the best wavelet base, which is based on the BP neural network. After simulating, the proposed method made the universality of image real - time compression processing available.
出处
《信息技术》
2005年第12期66-69,73,共5页
Information Technology
关键词
图像压缩
频谱分析
小波基
BP神经网络
image compression
frequency spectrum analysis
wavelet base
BP neural network
