A New Digital Image Restoration Model Based On Local Constraints

摘要：

In this paper,a new digital image restoration model based on local constraints is proposed with attempting to address the problems of the classical TV (total variation) restoration model and the pLaplace model. To this end,we adopt the adaptive regulation in this proposed model,which differs from the global regulation used in the classical TV restoration mode and the p-Laplace model. The proposed model can not only preserve and enhance edge and boundary features but also avoid the staircase effect. An efficient numerical schema is used for the implementation of the model. Experimental results on image denoising and deblurring represent that the proposed model is better than the classical TV restoration mode and the p-Laplace model.

关键词： image restoration adaptive regulation TV model p-Laplace model Local constraints

作者: Xiaosheng Yu Chengdong Wu Tong Jia

作者单位: Northwestern University,China

会议类型: 国际会议

会议名称: 2011 International Conference on Opto-Electronics Engineering and Information Science(2011光电电子工程与信息科学国际会议 ICOEIS 2011)

会议地点: 西安

会议语种:英文

页码: 794-798

在线出版日期: 2011-12-23（万方平台首次上网日期，不代表论文的发表时间）