Edge-region information measure based on deformed and displaced pixel for image quality assessment

Authors:
Zianou Ahmed Seghir;Fella Hachouf
Affiliations:
Institute of Sciences and Technology, Academic Centre of Abbes Laghrour Khenchela, Algeria;Automatic and Robotic Laboratory, Mentouri University, Road of Ain El Bey, 25000 Constantine, Algeria
Venue:
Image Communication
Year:
2011

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Abstract

Image quality depends on many factors, such as the initial capture system and its image processing, compression, transmission, the output device, media and associated viewing conditions. The goal of quality assessment research is to design measures that can automatically evaluate the quality of images in a perceptually consistent manner. This paper proposes a new measure for image quality assessment (IQA), which supplies more flexibility than previous methods in using the pixel displacement in the assessment. First, the distorted and original images are divided into overlapped 11x11 blocks, and secondly, we calculated distorted pixels and displacement, and then, visual regions of interest and edge information are computed, which can be used to compute the global error. Experimental comparisons show the efficiency of the proposed method.