Using SCIELAB for image and video quality evaluation

Author

Fonseca, Roberto N. ; Ramirez, Miguel A.

Author_Institution

Sao Paulo Univ., Sao Paulo

fYear

2008

fDate

14-16 April 2008

Firstpage

1

Lastpage

4

Abstract

In order to evaluate digital color images and videos, many objective metrics have been developed over the years. Some of these metrics correlate well with the subjective perception of distortions caused by a given digital processing on such color images or videos. This work presents a comparison between subjective assessment and objective metric based on SCIELAB color space. Color image samples as well as color video samples were used in this work. The results point out that SCIELAB is better than PSNR when using still images. For motion pictures (videos), further investigations is needed.

Keywords

data compression; image colour analysis; image motion analysis; video coding; JPEG2000; MPEG2 compression; SCIELAB metrics; digital color image; image quality evaluation; motion picture; video quality evaluation; Color; Compression algorithms; Equations; Extraterrestrial measurements; Humans; Mean square error methods; Motion pictures; PSNR; Video compression; Visual system; Image color analysis; mean square error measurements; motion pictures; video coding; visual system;

fLanguage

English

Publisher

ieee

Conference_Titel

Consumer Electronics, 2008. ISCE 2008. IEEE International Symposium on

Conference_Location

Vilamoura

Print_ISBN

978-1-4244-2422-1

Electronic_ISBN

978-1-4244-2422-1

Type

conf

DOI

10.1109/ISCE.2008.4559432

Filename

4559432