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Title: Visual masking estimation based on structural uncertainty
Authors: Lin, Weisi
Wu, Jinjian.
Shi, Guangming.
Issue Date: 2013
Source: Wu, J., Lin, W., & Shi, G. (2013). Visual masking estimation based on structural uncertainty. 2013 IEEE International Symposium on Circuits and Systems (ISCAS), 933-936.
Abstract: A model of visual masking, which reveals the visible threshold of human perception, is useful in perceptual based image/video processing. The existing visual masking formulation, which mainly considers luminance contrast, cannot accurately estimate the visible threshold. Recent researches indicate that human perception is highly adaptive to extract orderly structures and is insensitive to disorderly structures. Therefore, we suggest that the structural characteristic is another determining factor for visual masking, and deduce a novel visual masking function based on structural uncertainty. Experimental results demonstrate that the proposed model is more consistent with human perception than the existing visual masking model.
DOI: 10.1109/ISCAS.2013.6572001
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Conference Papers

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