摘要
为提高对纹理信息和平坦与平滑过渡区域的修复效果,提出一种基于等照度线平滑的非下采样cont-ourlet变换(NSCT)图像修复算法。利用NSCT能较好地稀疏表示图像的结构、纹理及边缘信息等特性,将其作为稀疏重构的字典实现稀疏修复破损图像。为消除平坦及平滑过渡区域的破损痕迹,根据估计出的破损点的等照度线方向,自适应选取平滑模板修正该破损点的像素值,以更好地保持等照度线的光滑连续。实验结果表明:本文算法具有较好的修复效果,保持了纹理清晰、结构连通及平坦与平滑区域的良好过渡。
To improve the effects of inpainting the texture information,and flat and smooth transition zones,this paper proposed an image inpainting algorithm of nonsubsampled contourlet transform（NSCT） based on isophote smoothness.NSCT having the property of sparse representation of images structures,and texture and edge information,it was chosen as the sparse representation dictionary to repair the damaged image.To remove damaged traces in the flat regions and smooth transition zones,the smoothness template of each damaged pixel was adaptively selected according to the estimated isophote direction and was used for amendment to make the isophote continue and keep smooth.Experimental results show that the proposed algorithm has better inpainting effects in terms of maintaining the clearness of texture,the connectivity of structure and good transition between flat and smoothness areas.
出处
《铁道学报》
EI
CAS
CSCD
北大核心
2012年第11期77-82,共6页
Journal of the China Railway Society
基金
国家自然科学基金(60970122)
中央高校基本科研业务费(SWJTU09CX039
SWJTU10CX09)
关键词
图像修复
NSCT
等照度线
平滑模板
image inpainting
nonsubsampled contourlet transform（NSCT）
isophote
smoothness template
