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Proceedings Paper

Quality asessment of coded images using numerical category scaling
Author(s): Andre M. van Dijk; Jean-Bernard Martens; Andrew B. Watson
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Paper Abstract

The large variety of algorithms for data compression has created a growing need for methods to judge (new) compression algorithms. The results of several subjective experiments illustrate that numerical category scaling techniques provide an efficient and valid way not only to obtain compression ratio versus quality curves that characterize coder performance over a broad range of compression ratios, but also to assess perceived image quality in a much smaller range (e.g. close to threshold level). Our first object is to discuss a number of simple techniques that can be used to assess perceived image quality. We show how to analyze data obtained from numerical category scaling experiments and how to set up such experiments. Second, we demonstrate that the results from a numerical scaling experiment depend on the specific nature of the subject's task in combination with the nature of the images to be judged. As results from subjective scaling experiments depend on many factors, we conclude that one should be very careful in selecting an appropriate assessment technique.

Paper Details

Date Published: 17 February 1995
PDF: 12 pages
Proc. SPIE 2451, Advanced Image and Video Communications and Storage Technologies, (17 February 1995); doi: 10.1117/12.201231
Show Author Affiliations
Andre M. van Dijk, Institute for Perception Research (Netherlands)
Jean-Bernard Martens, Institute for Perception Research (Netherlands)
Andrew B. Watson, NASA Ames Research Ctr. (United States)


Published in SPIE Proceedings Vol. 2451:
Advanced Image and Video Communications and Storage Technologies
Naohisa Ohta; Heinz U. Lemke; Jean Claude Lehureau, Editor(s)

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