No-Reference Image Quality Assessment Based on Visual Perception

Abstract:

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No-reference image quality assessment is an important issue for video compression and communication. This work presents a no-reference objective image/video sharpness method based on visual perception metric (VPM). The algorithm gets image typical edge and edge width firstly, and then gets gray contrast of typical edge region, finally utilizes these factors to integrate a probability summation assessment model. The proposed metric is able to predict the amount of sharpness in image with different content. Experimental results show that this method is consistent with subjective assessment of human being and can be use to describe the visual perception of image effectively.

Info:

Periodical:

Edited by:

Elwin Mao and Linli Xu

Pages:

325-329

DOI:

10.4028/www.scientific.net/AEF.1.325

Citation:

J. Ni et al., "No-Reference Image Quality Assessment Based on Visual Perception", Advanced Engineering Forum, Vol. 1, pp. 325-329, 2011

Online since:

September 2011

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