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Eigen-gap of structure transition matrix: A new criterion for Image Quality Assessment

Joneidi, M and Rahmani, M and Golestani, HB and Ghanbari, M (2016) Eigen-gap of structure transition matrix: A new criterion for Image Quality Assessment. In: 2015 IEEE Signal Processing and Signal Processing Education Workshop (SP/SPE), 2015-08-09 - 2015-08-12, Salt Lake City, UT, USA.

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Abstract

A new approach to Image Quality Assessment (IQA) is presented. The idea is based on the fact that two images are similar if their structural relationship within their blocks is preserved. To this end, a transition matrix is defined which exploits structural transitions between corresponding blocks of two images. The matrix contains valuable information about differences of two images, which should be transformed to a quality index. Eigen-value analysis over the transition matrix leads to a new distance measure called Eigen-gap. According to simulation results, the Eigen-gap is not only highly correlated to subjective scores but also, its performance is as good as the SSIM, a trustworthy index.

Item Type: Conference or Workshop Item (Paper)
Additional Information: Published proceedings: _not provided_
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Elements
Date Deposited: 31 Jul 2019 08:40
Last Modified: 31 Jul 2019 09:15
URI: http://repository.essex.ac.uk/id/eprint/22467

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