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Proceedings Paper

Human visual system singularity map analyses
Author(s): Harold H. Szu; Hongye Wang; Pornchai Chanyagorn
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Paper Abstract

This paper has analyzed the day and night images using the novel concept called hard and soft singularity maps (SM) that are biologically extracted by the lateral redundant data. Consequently, the correspondence exists uniquely among neighborhood frames in terms of the different slope values at image corners solving the optical flow problem for the video compression. In this paper, some efficient computational methods: min-max picking, and next order Cellular Neural Network implementing the anti-diffusion Laplacian, can obtain the SM without the convolution broadening based on Sobel and Canny edge operators. However, the differentiation operation may produce a false singularity under noise, and thus we apply the Hermitian wavelets to obtain the noisy singularity.

Paper Details

Date Published: 5 April 2000
PDF: 14 pages
Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); doi: 10.1117/12.381715
Show Author Affiliations
Harold H. Szu, Office of Naval Research (United States)
Hongye Wang, George Washington Univ. (United States)
Pornchai Chanyagorn, George Washington Univ. (United States)


Published in SPIE Proceedings Vol. 4056:
Wavelet Applications VII
Harold H. Szu; Martin Vetterli; William J. Campbell; James R. Buss, Editor(s)

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