Multiscale structural similarity for image quality assessment

Z Wang, E P Simoncelli and A C Bovik

Published in Proc 37th Asilomar Conf on Signals, Systems and Computers, vol.2 pp. 1398--1402, Nov 2003.
© IEEE Computer Society

DOI: 10.1109/ACSSC.2003.1292216

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    • The structural similarity image quality paradigm is based on the assumption that the human visual system is highly adapted for extracting structural information from the scene, and therefore a measure of structural similarity can provide a good approximation to perceived image quality. This paper proposes a multi-scale structural similarity method, which supplies more flexibility than previous single-scale methods in incorporating the variations of viewing conditions. We develop an image synthesis method to calibrate the parameters that define the relative importance of different scales. Experimental comparisons demonstrate the effectiveness of the proposed method.
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