Role of image dissimilarity in image quality models

Jean-Bernard Martens; Lydia Meesters

doi:10.1117/12.348447

19 May 1999 Role of image dissimilarity in image quality models

Jean-Bernard Martens, Lydia Meesters

Proceedings Volume 3644, Human Vision and Electronic Imaging IV; (1999) https://doi.org/10.1117/12.348447
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

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.

Citation Download Citation

Jean-Bernard Martens and Lydia Meesters "Role of image dissimilarity in image quality models", Proc. SPIE 3644, Human Vision and Electronic Imaging IV, (19 May 1999); https://doi.org/10.1117/12.348447

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