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Signal and image enhancement in the presence of noise is considered in the context of the scale-space approach. A modified dynamic process, based on the action of an adaptive diffusion equation, is presented. The nonlinear diffusion coefficient is locally adjusted according to image features such as edges, textures and moments, and, as such, can also reverse its sign, i.e. switches from a forward...
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...
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