Signal Processing 2019 DOI: 10.1016/j.sigpro.2019.06.020 View full text
Yuanhao Gong, Orcun Goksel

Abstract: In image processing tasks, spatial priors are essential for robust computations, regularization, algorithmic design and Bayesian inference. In this paper, we introduce weighted mean curvature (WMC) as a novel image prior and present an efficient computation scheme for its discretization in practical image processing applications. We first demonstrate the favorable properties of WMC, such as sampling invariance, scale invariance, and contrast invariance with Gaussian noise model; and we show the relation of WM…

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