Calibrating MS-SSIM for compression distortions using MLDS

Author

Charrier, C. ; Knoblauch, K. ; Maloney, L.T. ; Bovik, A.C.

Author_Institution

GREYC, Univ. of Caen-Basse Normandie, Caen, France

fYear

2011

fDate

11-14 Sept. 2011

Firstpage

3317

Lastpage

3320

Abstract

In this paper, we describe a recently developed method for assessing perceived image quality, Maximum Likelihood Difference Scaling (MLDS), and use it to assess the performance of MS-SSIM on compression distored images. MLDS allows us to quantify supra-threshold perceptual differences between pairs of images and to examine how perceived image quality, estimated through MLDS, changes as the compression rate is increased. We show how the data collected by MLDS allows us to recalibrate MS-SSIM to improve its performance.

Keywords

calibration; distortion; image coding; maximum likelihood estimation; MLDS; MS-SSIM calibration; MS-SSIM performance assessment; compression distored images; maximum likelihood difference scaling; multiscale structural similarity; perceived image quality assessment; supra-threshold perceptual differences; Correlation; Genetic algorithms; Humans; Image coding; Image quality; Maximum likelihood estimation; Observers; Difference scaling; Genetic algorithm; MS-SSIM;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing (ICIP), 2011 18th IEEE International Conference on

Conference_Location

Brussels

ISSN

1522-4880

Print_ISBN

978-1-4577-1304-0

Electronic_ISBN

1522-4880

Type

conf

DOI

10.1109/ICIP.2011.6116381

Filename

6116381