摘要
由于单色图像具有良好的灰度扩展性,本文通过应用Ohta提出的K-L变换,将含噪声的彩色图像分割为三个正交彩色特征I^1,I^2,I^3;然后将含丰富特征的单色图I^1平滑为X,并将X进行模糊增强处理,最后依R、G、B三色值的贡献,按比例实现彩色回显,从而获取了彩色图像很好的模糊增强的效果。
Because monochrome images possess the better exteneiveness of grey level, in this paper a color image corrupted by noise is segmented as three color orthogonal features: I1, I2 and I3 in. K-L transformation method proposed by Ohta, 籲d then the monochrome image I1 including rich informations of the color image is smoothed as X, which will be enhanced in fuzzy theory. Pinaly, in proportion to contributions of M, G and B to I1 at every pixel, the enhanced monochrome image will be colorly backdisplayed, and better effects of fuzzy enhancement for color image
can be obtained thereby.
出处
《计算机应用与软件》
CSCD
1995年第6期54-59,共6页
Computer Applications and Software
基金
国家自然科学基金
关键词
彩色图像
模糊增强
彩色回显
图像处理
Color image, monochrome process, fuzzy enhancement, color back- display.
