摘要
分析了二维离散小波可分离情况分解与重构的实际算法，研究了算法在图像压缩、图像消噪、图像增强和图像融合中的应用方法并分析了应用实例。结果表明，应用该算法可以获得较大的图像压缩比，有效去除图像中的高斯白噪声。
In this paper, the practical arithmetic approach of resolving and re-comprising is analyzed. A study is presented about how to apply the arithmetic to image compressing, removing o image noise, image enhancing and image merging, and some examples of the application are analyzed. As the results show, larger compressing ratio of image. The effective removal of Gauss white noise and successful enhancing and merging of images can be obtained by the application of this arithmetic approach.
出处
《黑龙江科技学院学报》
CAS
2001年第4期32-34,41,共4页
Journal of Heilongjiang Institute of Science and Technology
关键词
二维小波
分解
重构
图像压缩
图像消噪
图像增强
图像融合
图像处理
dimension wavelet
resolving
re-comprising
image compressing
removing of image noise
image enhancing
image merging
