摘要
小波变换的压缩技术为多分辨分析、时—频域分析和子带编码建立了统一的分析方法,利用小波分析技术的这些优越性对图像进行二维离散小波分解,分离出图像的高频部分和低频部分,可以有效地对图像进行压缩和去除噪声,从而得到在失真较小情况下的图像的最高压缩比。利用小波进行图像压缩的方法通过在Matlab的环境下进行实验得出。
Wavelet analysis establishes an unified analysis method for multi-resolution analysis, time-frequency analysis and innertube coding. For these advantages of wavelet,the image can be isolated to high-frequency and low frequency signal with two dimensional discrete wavelet. This makes a foundation for image compression and noise removal, and gets a maximum compression ratio image in the case of small distortion. The image compression with wavelet based on the Matlab software is presented.
出处
《信息技术》
2009年第4期66-69,共4页
Information Technology
关键词
小波
Madab软件
图像压缩
噪声
wavelet analysis
Matlab software
image compression
noise
