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

fYear

2013

fDate

20-22 March 2013

Firstpage

511

Lastpage

511

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Data Compression Conference (DCC), 2013

Conference_Location

Snowbird, UT

ISSN

1068-0314

Print_ISBN

978-1-4673-6037-1

Type

conf

DOI

10.1109/DCC.2013.117

Filename

6543121