摘要
图像在产生、传送和记录过程中都会产生失真 ,在恢复时影响图像质量。文中介绍了一种利用图像象素之间的相关特性 ,将遗传算法和贝叶斯估计相结合的图像恢复的方法 ,并在算法中引入线过程。使用此算法恢复的图像与一般遗传算法恢复的图像进行对比分析 ,图像的清晰度明显优于后者 ,表明本算法比单纯使用遗传算法对图像恢复效果好。
Images would be regression in producing, transmitting and recording. These will influence the quality of the images restorated. The article introduces a kind of images restoration method, which make use of relative characters of image pixels, and combines genetic algorithms inducting line process with Bayesian estimation. In comparison with the result by general genetic algorithms producing, its clearness is better than later, and it is proved that this method is better than that only general genetic algorithms.
出处
《洛阳工学院学报》
2000年第2期54-57,共4页
Journal of Luoyang Institute of Technology
基金
河南省自然科学基金资助项目!( 9940 60 2 0 0 )
关键词
图像处理
遗传算法
图像失真
计算机图形学
Image processing
Genetic algorithms
Image distortion
Image restoration
Bayess estimations
