Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.
Digital Object Identifier (DOI) : 10.14569/IJACSA.2013.040119
Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 4 Issue 1, 2013.
Abstract: The aim of this work is to define a no-referenced perceptual image quality estimator applying the perceptual concepts of the Chromatic Induction Model The approach consists in comparing the received image, presumably degraded, against the perceptual versions (different distances) of this image degraded by means of a Model of Chromatic Induction, which uses some of the human visual system properties. Also we compare our model with an original estimator in image quality assessment, PSNR. Results are highly correlated with the ones obtained by PSNR for image (99.32% Lenna and 96.95% for image Baboon), but this proposal does not need an original image or a reference one in order to give an estimation of the quality of the degraded image.
Jaime Moreno, Beatriz Jaime and Salvador Saucedo, “Towards No-Reference of Peak Signal to Noise Ratio” International Journal of Advanced Computer Science and Applications(IJACSA), 4(1), 2013. http://dx.doi.org/10.14569/IJACSA.2013.040119