Suprathreshold visual psychophysics and structure-based visual masking

Sheila S. Hemami; Damon M. Chandler; Bobbie G. Chern; Jeri Anne Moses

doi:10.1117/12.660795

19 January 2006 Suprathreshold visual psychophysics and structure-based visual masking

Sheila S. Hemami, Damon M. Chandler, Bobbie G. Chern, Jeri Anne Moses

Proceedings Volume 6077, Visual Communications and Image Processing 2006; 60770O (2006) https://doi.org/10.1117/12.660795
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

Current state-of-the-art algorithms that process visual information for end use by humans treat images and video as traditional "signals" and employ sophisticated signal processing strategies to achieve their excellent performance. These algorithms also incorporate characteristics of the human visual system (HVS), but typically in a relatively simplistic manner, and achievable performance is reaching an asymptote. However, large gains are still realizable with current techniques by aggressively incorporating HVS characteristics to a much greater extent than is presently done. Achieving these gains requires HVS characterizations which better model natural image perception ranging from sub-threshold perception (where distortions are not visible) to supra-threshold perception (where distortions are clearly visible). This paper reviews classical psychophysical HVS characterizations focused on the visual cortex (V1), pertaining to the contrast sensitivity function, summation, and masking, which have been obtained using unrealistic stimuli such as sinusoids and white noise. The direct applicability of these results to natural images is often not clear. Complementary results are then presented which have been obtained using realistic stimuli derived from or consisting of natural images, along with several applications of these results. Finally, a new structure-based masking model is proposed to model masking in homogeneous natural image patches as a function of the image type: textures, edges, or structures.

Citation Download Citation

Sheila S. Hemami, Damon M. Chandler, Bobbie G. Chern, and Jeri Anne Moses "Suprathreshold visual psychophysics and structure-based visual masking", Proc. SPIE 6077, Visual Communications and Image Processing 2006, 60770O (19 January 2006); https://doi.org/10.1117/12.660795

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