Directional high-pass filter for blurry image analysis

Authors:
Xiaogang Chen;Jie Yang;Qiang Wu;Jiajia Zhao;Xiangjian He
Affiliations:
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China and Key Laboratory of System Control and Information Processing, Ministry of Education, China;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China and Key Laboratory of System Control and Information Processing, Ministry of Education, China;Centre for Innovation in IT Services and Applications, University of Technology, Sydney, Australia;Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, China and Key Laboratory of System Control and Information Processing, Ministry of Education, China;Centre for Innovation in IT Services and Applications, University of Technology, Sydney, Australia
Venue:
Image Communication
Year:
2012

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Abstract

High-frequency energy distributions are important characteristics of blurry images. In this paper, directional high-pass filters are proposed to analyze blurry images. Firstly, we show that the proposed directional high-pass filters can effectively estimate the motion direction of motion blurred images. A closed-form solution for motion direction estimation is derived. It achieves a higher estimation accuracy and is also faster than previous methods. Secondly, the paper suggests two important applications of the directional high-frequency energy analysis. It can be employed to identify out-of-focus blur and motion blur, and to detect motion blurred regions in observed images. Experiments on both synthetic and real blurred images are conducted. Encouraging results demonstrate the efficacy of the proposed methods.