Title :
NRPSNR: No-Reference Peak Signal-to-Noise Ratio for JPEG2000
Author :
Moreno, J. ; Jaime, B. ; Fernandez, Camino
Author_Institution :
Super. Sch. of Mech. & Electr. Eng., Nat. Polytech. Inst., Mexico City, Mexico
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 a 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.
Keywords :
data compression; image coding; JPEG2000; NRPSNR; PSNR; chromatic induction model; degraded image quality; human visual system properties; no-reference peak signal-to-noise ratio; no-referenced perceptual image quality estimator; Data models; Educational institutions; Image quality; Measurement; PSNR; Transform coding; Visual systems; Contrast Sensitivity Function; Human Visual System; JPEG2000; No-Reference Image Quality Assessment; Peak Signal-to-Noise Ratio; Perceived Images; Wavelet Transform;
Conference_Titel :
Data Compression Conference (DCC), 2013
Conference_Location :
Snowbird, UT
Print_ISBN :
978-1-4673-6037-1
DOI :
10.1109/DCC.2013.117
