基于边缘恢复和伪像消除的正则化图像复原

吴显金; 王润生

基于边缘恢复和伪像消除的正则化图像复原

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出版历程
- 收稿日期: 2005-06-20
- 修回日期: 2005-12-31
- 刊出日期: 2006-04-19

Regularized Image Restoration Based on Edge Restoration and Artifacts Removing

摘要

摘要: 由于各种原因复原图像不可避免地会存在一定程度的Gibbs效应、颗粒噪声及边缘振铃等伪像, 为此该文基于边缘恢复和消除伪像提出一种新的正则化图像复原方法。该方法在保留传统的平滑正则化约束项前提下, 首先将降质图像划分为边缘区、纹理区和平坦区, 然后以图像复原后边缘区局部方差的增加量构建正则化约束项作为对边缘恢复的约束, 而以平坦区局部方差的减少量构建正则化约束项作为对伪像消除的约束。实验结果表明, 在增加上述两个正则化约束项后其复原效果要明显优于传统的正则化复原方法。
- 图像复原;正则化; 边缘恢复;伪像消除
Abstract: For many reasons, the artifacts can not be avoided in restored images such as Gibbs effect, grain noise and edge ring. Therefore, a new regularized approach for image restoration is proposed based on edge restoration and artifacts removing. Two new regularized constraint items are constructed in the approach with preserving classical smoothing regularized constraint item. Firstly, the degraded image is divided into edge region, texture region and flat region. Then, the increasing local variance of edge region and decreasing local variance of flat region after image restoration are used respectively to construct regularized constraint item as edge restoration constraint and artifacts removing constraint. Experimental results show the proposed approach is better than classical method in image restoration effect with two above-mentioned additional regularized constraint items.

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