Parametric procedures for image denoising with flexible prior model

Open Webpage

Pham Cong Thang, Andrei V. Kopylov

Published: 01 Jan 2016, Last Modified: 10 Aug 2024SoICT 2016EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: In this work, we present procedures for image denoising based on dynamic programming procedure for maximum a posteriori probability estimation. A new non-convex type regularization is used, with ability to flexibly set a priori preferences, using different penalties for various ranges of differences between the values of adjacent image elements. Proposed procedures can take into account heterogeneities and discontinuities in the source data.