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Proceedings Paper

Evaluation of the visual performance of image processing pipes: information value of subjective image attributes
Author(s): G. Nyman; J. Häkkinen; E.-M. Koivisto; T. Leisti; P. Lindroos; O. Orenius; T. Virtanen; T. Vuori
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Paper Abstract

Subjective image quality data for 9 image processing pipes and 8 image contents (taken with mobile phone camera, 72 natural scene test images altogether) from 14 test subjects were collected. A triplet comparison setup and a hybrid qualitative/quantitative methodology were applied. MOS data and spontaneous, subjective image quality attributes to each test image were recorded. The use of positive and negative image quality attributes by the experimental subjects suggested a significant difference between the subjective spaces of low and high image quality. The robustness of the attribute data was shown by correlating DMOS data of the test images against their corresponding, average subjective attribute vector length data. The findings demonstrate the information value of spontaneous, subjective image quality attributes in evaluating image quality at variable quality levels. We discuss the implications of these findings for the development of sensitive performance measures and methods in profiling image processing systems and their components, especially at high image quality levels.

Paper Details

Date Published: 18 January 2010
PDF: 10 pages
Proc. SPIE 7529, Image Quality and System Performance VII, 752905 (18 January 2010); doi: 10.1117/12.839946
Show Author Affiliations
G. Nyman, Univ. of Helsinki (Finland)
J. Häkkinen, Univ. of Helsinki (Finland)
Nokia Research Ctr. (Finland)
Helsinki Univ. of Technology (Finland)
E.-M. Koivisto, Univ. of Helsinki (Finland)
T. Leisti, Univ. of Helsinki (Finland)
P. Lindroos, Univ. of Helsinki (Finland)
O. Orenius, Univ. of Helsinki (Finland)
T. Virtanen, Univ. of Helsinki (Finland)
T. Vuori, Nokia Research Ctr. (Finland)

Published in SPIE Proceedings Vol. 7529:
Image Quality and System Performance VII
Susan P. Farnand; Frans Gaykema, Editor(s)

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