A New Image Restoration Model Based on the Adaptive Total Variation

摘要：

Traditional total variation model leads to an undesirable staircase effect and is hard to eliminate high frequency noises in image restoration. In this paper, to solve this problem,a novel image restoration model based on adaptive total variation is proposed. A gradient fidelity term is coupled with adaptive total variation model. In order to choose proper parameters, the parameter selection criteria are analyzed theoretically, and a simple scheme to demonstrate its validity is adopted experimentally. To make fair comparisons of performances of three models, the same numerical algorithm is used to solve partial differential equations. Experimental results illustrate that the new model not only preserves the edge and important details but also alleviates the staircase effect effectively.

关键词： Image restoration total variation gradient fidelity term staircase effect

作者: Feng Zhao Mingzhu Shi Tingfa Xu

作者单位: Wireless Network Laboratory Beijing University of Posts and Telecommunications Beijing 100876, China Key Laboratory of Photo electronic Imaging Technology and System, Ministry of Education of China Bei

会议类型: 国际会议

会议名称: 2010 International Conference on Digital Manufacturing and Automation(2010 数字制造与自动化国际会议 ICDMA 2010)

会议地点: 长沙

会议语种:英文

页码: 63-66

在线出版日期: 2010-12-18（万方平台首次上网日期，不代表论文的发表时间）