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  • Title: Nonlinear scale space with spatially varying stopping time.
    Author: Gilboa G.
    Journal: IEEE Trans Pattern Anal Mach Intell; 2008 Dec; 30(12):2175-87. PubMed ID: 18988950.
    Abstract:
    A general scale space algorithm is presented for denoising signals and images with spatially varying dominant scales. The process is formulated as a partial differential equation with spatially varying time. The proposed adaptivity is semi-local and is in conjunction with the classical gradient-based diffusion coefficient, designed to preserve edges. The new algorithm aims at maximizing a local SNR measure of the denoised image. It is based on a generalization of a global stopping time criterion presented recently by the author and colleagues. Most notably, the method works well also for partially textured images and outperforms any selection of a global stopping time. Given an estimate of the noise variance, the procedure is automatic and can be applied well to most natural images.
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