期刊
IEEE TRANSACTIONS ON IMAGE PROCESSING
卷 21, 期 4, 页码 1561-1572出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIP.2011.2172803
关键词
Edge-adaptive Laplacian kernel; edge preservation; image denoising; nonlinear diffusion
资金
- Natural Sciences and Engineering Research Council of Canada
- Regroupement Strategique en Microelectronic du Quebec
In this paper, first, a new Laplacian kernel is developed to integrate into it the anisotropic behavior to control the process of forward diffusion in horizontal and vertical directions. It is shown that, although the new kernel reduces the process of edge distortion, it nonetheless produces artifacts in the processed image. After examining the source of this problem, an analytical scheme is devised to obtain a spatially varying kernel that adapts itself to the diffusivity function. The proposed spatially varying Laplacian kernel is then used in various nonlinear diffusion filters starting from the classical Perona-Malik filter to the more recent ones. The effectiveness of the new kernel in terms of quantitative and qualitative measures is demonstrated by applying it to noisy images.
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