5 April 2000 Human visual system singularity map analyses
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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.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Harold H. Szu, Harold H. Szu, Hongye Wang, Hongye Wang, Pornchai Chanyagorn, Pornchai Chanyagorn, } "Human visual system singularity map analyses", Proc. SPIE 4056, Wavelet Applications VII, (5 April 2000); doi: 10.1117/12.381715; https://doi.org/10.1117/12.381715


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