Direction Parameter Identification of Motion-Blurred Image Based on Three Second Order Frequency Moments
The quality of motion-blurred image restoration is highly dependent on the blur direction identification, which is an important and difficult problem in image restoration. In frequency domain, we summarize four important characteristics of motion-blurred image, and then propose a method to reduce the impact of deficiencies in frequency characteristics by using the binaryzation operation, the morphological operations and the main-connectivity detection method. Aiming at identifying the blur direction effectually, we propose an algorithm to detect the medial axis of white stripes by combining three second order moments of motionblurred image in frequency domain. The algorithm in this paper is quite different from traditional algorithms which detect black stripes. Experimental results show that our algorithm is much faster and can achieve high accuracy and stability.
image restoration parameter estimation blur direction frequency moment
Yiping Wang Xinsheng Huang Peng Jia
College of Mechatronics Engingeering and Automation National University of Defense Technology Changsha,China
国际会议
长沙
英文
453-457
2009-04-11（万方平台首次上网日期，不代表论文的发表时间）