Work

Calibrating MS-SSIM for compression distortions using MLDS

Year: 2011

Type: conference-paper

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.

Source: Proceedings - International Conference on Image Processing

DOI: 10.1109/icip.2011.6116381

Authors: C. Charrier, K. Knoblauch, L. T. Maloney, A. C. Bovik

Institutions: Centre National de la Recherche Scientifique, GREYC, Université de Caen Normandie, Inserm, Institut Cellule Souche et Cerveau, New York University, The University of Texas at Austin

Language: English

Topic: Image and Video Quality Assessment

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2083251471

FWCI: 0.239

Cites: 8

Cited by: 5

Related to: 10