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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2009 Vol.1(2): 136-139 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2009.V1.22

Weighted Structural Similarity Based on Edge Strength for Image Quality Assessment

D.Venkata Rao and L.Pratap Reddy

Abstract—In this paper a full reference objective image quality assessment technique is presented which is based on the properties of the human visual system (HVS). By integrating the notion of visual regions of interest with the measurement of structural similarity between the original image and distorted image a Weighted Structural Similarity Index (WSSI) is proposed. The method first evaluates the structural similarity indices between the original and distorted image in local regions. These local indices are then weighted based on the visual region of interest of the corresponding region, characterized by edge strength in the local region. WSSI of an image is calculated as the average of these weighted indices. A comparison with the peak-signal-to-noise ratio (PSNR) and state of the art metric, Mean Structural Similarity Index (MSSIM), shows that the proposed measure correlates better with the judgment of human observers.

Index Terms—Edge strength, Human visual system, Structural similarity, Visual regions of interest.

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Cite: D. Venkata Rao and L. Pratap Reddy, "Weighted Structural Similarity Based on Edge Strength for Image Quality Assessment," International Journal of Computer Theory and Engineering vol. 1, no. 2, pp. 136-139, 2009.
 

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