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MULTI-SCALE STRUCTURAL SIMILARITY FOR IMAGE QUALITY ...
Published in: Proceedings of the 37th IEEE Asilomar Conference on Signals, Systems and Computers, Pacific Grove, CA, Nov. 9-12, 2003. IEEE. MULTI-SCALE STRUCTURAL SIMILARITY FOR IMAGE QUALITY assessment . Zhou Wang1 , Eero P. Simoncelli1 and Alan C. Bovik2. (Invited Paper). 1. Center for Neural Sci. and Courant Inst. of Math. Sci., New York Univ., New York, NY 10003. 2. Dept. of Electrical and Computer Engineering, Univ. of Texas at Austin, Austin, TX 78712. Email: ABSTRACT stimuli. Thus, these approaches must rely on a number of strong assumptions and generalizations [4],[5]. Furthermore, as the num- The STRUCTURAL SIMILARITY IMAGE QUALITY paradigm is based on the ber of HVS features has increased, the resulting QUALITY assessment assumption that the human visual system is highly adapted for systems have become too complicated to work with in real-world extracting struc
MULTI-SCALE STRUCTURAL SIMILARITY FOR IMAGE QUALITY ASSESSMENT Zhou Wang1, Eero P. Simoncelli1 and Alan C. Bovik2 (Invited Paper) 1Center for Neural Sci. and Courant Inst. of Math. Sci.,New York Univ., New York, NY 10003 2Dept. of Electrical and Computer Engineering, Univ. of Texas at Austin, Austin, TX 78712 Email: zhouwang@ieee.org, …
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