基于方向信息测度的图像恢复

Orientation Information Measure Based Image Restoration

文章根据人眼对图像平滑区噪声敏感,而对边缘区不敏感这一特性,提出了基于图像信息测度的图像恢复方法。在图像恢复的过程中,在图像的平滑区加大平滑程度,从而减小噪声;而在边缘区,加大图像恢复程度,从而增强边缘,并且考虑了模糊程度随空间变化这一实际。实验证明本文的方法在增大图像边缘恢复程度,减小噪声放大之间能够达到一个很好的折衷,恢复出来的结果图像视觉效果良好。

Various psychophysical experiments have shown that the visibility of noise is greatly masked by sharp inten-sity transitions,whereas blurring generally appears to be unacceptable in this context.According to this property of hu-man visual system,this paper proposes a image restoration algorithm based on orientation information measure.By this method,the amount of restoration in the flat image regions is small so that the noise will not be magnified to have dominant effect,whereas in regions with sharp intensity transitions,the amount of restoration should be large so that sharp edges can be reconstructed.It is shown by the experiments that the restored images obtained by the proposed al-gorithm are better in terms of visual quality.