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Proceedings Paper

Content-based quality evaluation of color images: overview and proposals
Author(s): Alain Tremeau; Noel Richard; Philippe Colantoni; Christine Fernandez-Maloigne
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Paper Abstract

The automatic prediction of perceived quality from image data in general, and the assessment of particular image characteristics or attributes that may need improvement in particular, becomes an increasingly important part of intelligent imaging systems. The purpose of this paper is to propose to the color imaging community in general to develop a software package available on internet to help the user to select among all these approaches which is better appropriated to a given application. The ultimate goal of this project is to propose, next to implement, an open and unified color imaging system to set up a favourable context for the evaluation and analysis of color imaging processes. Many different methods for measuring the performance of a process have been proposed by different researchers. In this paper, we will discuss the advantages and shortcomings of most of main analysis criteria and performance measures currently used. The aim is not to establish a harsh competition between algorithms or processes, but rather to test and compare the efficiency of methodologies firstly to highlight strengths and weaknesses of a given algorithm or methodology on a given image type and secondly to have these results publicly available. This paper is focused on two important unsolved problems. Why it is so difficult to select a color space which gives better results than another one? Why it is so difficult to select an image quality metric which gives better results than another one, with respect to the judgment of the Human Visual System? Several methods used either in color imaging or in image quality will be thus discussed. Proposals for content-based image measures and means of developing a standard test suite for will be then presented. The above reference advocates for an evaluation protocol based on an automated procedure. This is the ultimate goal of our proposal.

Paper Details

Date Published: 15 December 2003
PDF: 12 pages
Proc. SPIE 5304, Internet Imaging V, (15 December 2003); doi: 10.1117/12.524759
Show Author Affiliations
Alain Tremeau, Lab. LIGIV/Univ. Jean Monnet (France)
Noel Richard, IRCOM-SIC, CNRS-Univ. de Poitiers (France)
Philippe Colantoni, Lab. LIGIV/Univ. Jean Monnet (France)
Christine Fernandez-Maloigne, IRCOM-SIC, CNRS-Univ. de Poitiers (France)


Published in SPIE Proceedings Vol. 5304:
Internet Imaging V
Simone Santini; Raimondo Schettini, Editor(s)

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