A no-reference perceptual blur metric using histogram of gradient profile sharpness

Authors:
Luhong Liang;Jianhua Chen;Siwei Ma;Debin Zhao;Wen Gao
Affiliations:
Key Lab of Intelligent Information Processing, Chinese Academy of Sciences, Beijing, China and Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Graduate University of Chinese Academy of Sciences, Beijing, China;Peking University, Beijing, China;Harbin Institute of Technology, Harbin, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate University of Chinese Academy of Sciences, Beijing, China and Peking University, Beijing, China
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

No-reference measurement of blurring artifacts in images is a challenging problem in image quality assessment field. One of the difficulties is that the inherently blurry regions in some natural images may disturb the evaluation of blurring artifacts. In this paper, we study the image gradients along local image structures and propose a new perceptual blur metric to deal with the above problem. The gradient profile sharpness of image edge is efficiently calculated along horizontal or vertical direction. Then the sharpness distribution histogram rectified by just noticeable distortion (JND) threshold is used to evaluate the blurring artifacts and assess the image quality. Experimental results show that the proposed method can achieve good image quality prediction performance.