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Proceedings Paper

Role of image dissimilarity in image quality models
Author(s): Jean-Bernard Martens; Lydia Meesters
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Paper Abstract

Although the concept of image dissimilarity is very familiar in the context of instrumental measure for image quality, it is fairly uncommon to use it as an experimental paradigm. Most instrumental measures relate image quality to some distance, such as the root-mean-squared error (RMSE), between the original and the processed image, such that image dissimilarity arises naturally in this context. Dissimilarity can however also be judged consistently by subjects. In this paper we compare the performance of a number of representative instrumental models for image dissimilarity with respect to their ability to predict both image dissimilarity and image quality, as perceived by human subjects. Two sets of experimental data, one for images degraded by noise and blur, and one for JPEG-coded images, are used in the comparison. In none of the examined cases could a clear advantage of complicated distance metrics be demonstrated over simple measures such as RMSE.

Paper Details

Date Published: 19 May 1999
PDF: 12 pages
Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); doi: 10.1117/12.348447
Show Author Affiliations
Jean-Bernard Martens, IPO Ctr. for Research on User-System Interaction (Netherlands)
Lydia Meesters, IPO Ctr. for Research on User-System Interaction (Netherlands)


Published in SPIE Proceedings Vol. 3644:
Human Vision and Electronic Imaging IV
Bernice E. Rogowitz; Thrasyvoulos N. Pappas, Editor(s)

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