Multi-scale Structural Similarity for Image Quality Assessment
Z Wang, E P Simoncelli, and A C Bovik
Appears in
Proc. 37th IEEE Asilomar Conf on Signals, Systems and Computers
Pacific Grove, CA, Nov 9-12, 2003.
doi: 10.1109/ACSSC.2003.1292216
© IEEE Computer Society.
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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