Abstract
This paper presents a new full reference image quality index for objective evaluation of color images in perceptually consistent manner with Human Visual System (HVS) characteristics. The quality index proposed in this paper evaluates the image quality across various types of distortions like: noise contamination, blurring, contrast stretching and compression; by considering the image degradations in terms of error, edge distortion, structural distortion, correlation degree and luminance. Simulation results obtained for the proposed quality index are subjectively validated using Mean Opinion Score (MOS) which ensures the capability and efficiency of the proposed index in evaluating color images according to the HVS characteristics.
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Gupta, P., Srivastava, P., Bhardwaj, S., Bhateja, V. (2012). A Novel Full Reference Image Quality Index for Color Images. In: Satapathy, S.C., Avadhani, P.S., Abraham, A. (eds) Proceedings of the International Conference on Information Systems Design and Intelligent Applications 2012 (INDIA 2012) held in Visakhapatnam, India, January 2012. Advances in Intelligent and Soft Computing, vol 132. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27443-5_28
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DOI: https://doi.org/10.1007/978-3-642-27443-5_28
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