Blind image quality assessment
Xin Li
Digital Video Dept., Sharp Labs of America, Camas, WA, USA;
This paper appears in: Image Processing. 2002. Proceedings. 2002 International Conference on
Publication Date: 2002
Volume: 1,
On page(s): I-449- I-452 vol.1
ISSN: 1522-4880
ISBN: 0-7803-7622-6
INSPEC Accession Number: 7590826
Digital Object Identifier: 10.1109/ICIP.2002.1038057
Current Version Published: 2002-12-10
Abstract
Blind image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. It addresses a fundamental distinction between fidelity and quality, i.e. human vision system usually does not need any reference to determine the subjective quality of a target image. In this paper, we propose to appraise the image quality by three objective measures: edge sharpness level, random noise level and structural noise level. They jointly provide a heuristic approach of characterizing the most important aspects of visual quality. We investigate various mathematical tools (analytical, statistical and PDE-based) for accurately and robustly estimating those three levels. Extensive experiment results are used to justify the validity of our approach.
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