Human visual system singularity map analyses
Harold H Szu, Hongye Wang, Pornchai Chanyagorn · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2000
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.