On Color Image Quality Assessment Using Natural Image Statistics

Author

Omari, Mounir ; El Hassouni, Mohammed ; Cherifi, Hocine ; Abdelouahad, Abdelkaher Ait

Author_Institution

Univ. of Mohammed V-Agdal, Rabat, Morocco

fYear

2014

Firstpage

516

Lastpage

523

Abstract

Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for gray scale images. In this paper, we consider a basic extension of well-known image-statistics based quality assessment measures to color images. In order to evaluate the impact of color information on the measures efficiency, two color spaces are investigated: RGB and CIELAB. Results of an extensive evaluation using TID 2013 benchmark demonstrates that significant improvement can be achieved for a great number of distortion type when the CIELAB color representation is used.

Keywords

image colour analysis; image representation; statistical analysis; CIELAB color representation; RGB; TID 2013 benchmark; color distortion; color image quality assessment; color images; color information; color space; gray scale images; measures efficiency; natural image statistics; quality assessment measure; reduced-reference quality measure; visual quality perception; Colored noise; Distortion measurement; Gray-scale; Image color analysis; Nonlinear distortion; Visualization; color space; image quality assessment; natural image statistics; reduced reference measure;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal-Image Technology and Internet-Based Systems (SITIS), 2014 Tenth International Conference on

Type

conf

DOI

10.1109/SITIS.2014.60

Filename

7081592