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Main Authors: Antil, Harbir, Mizuno, Daiki, Shirakawa, Ken, Ukai, Naotaka
Format: Preprint
Published: 2024
Subjects:
Online Access:https://arxiv.org/abs/2408.12847
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author Antil, Harbir
Mizuno, Daiki
Shirakawa, Ken
Ukai, Naotaka
author_facet Antil, Harbir
Mizuno, Daiki
Shirakawa, Ken
Ukai, Naotaka
contents This paper is devoted to the mathematical analysis of a system of pseudo-parabolic partial differential equations governed by an energy functional, associated with anisotropic monochrome image processing. The energy functional is based on the one proposed by [Berkels et al. Cartoon extraction based on anisotropic image classification, SFB 611, 2006], which incorporates an orientation auto-adjustment mechanism, and our energy is a simplified version which reduces the order of derivatives to improve computational efficiency. The aim of this paper is to establish a stable minimization process that addresses some instability of the algorithm caused by the reduction of derivative order. As a part of the study, we here prove Main Theorems concerned with the well-posedness of the pseudo-parabolic system, and provide a mathematically rigorous guarantee for the stability of the image denoising process derived from our system.
format Preprint
id arxiv_https___arxiv_org_abs_2408_12847
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle A gradient system based on anisotropic monochrome image processing with orientation auto-adjustment
Antil, Harbir
Mizuno, Daiki
Shirakawa, Ken
Ukai, Naotaka
Analysis of PDEs
This paper is devoted to the mathematical analysis of a system of pseudo-parabolic partial differential equations governed by an energy functional, associated with anisotropic monochrome image processing. The energy functional is based on the one proposed by [Berkels et al. Cartoon extraction based on anisotropic image classification, SFB 611, 2006], which incorporates an orientation auto-adjustment mechanism, and our energy is a simplified version which reduces the order of derivatives to improve computational efficiency. The aim of this paper is to establish a stable minimization process that addresses some instability of the algorithm caused by the reduction of derivative order. As a part of the study, we here prove Main Theorems concerned with the well-posedness of the pseudo-parabolic system, and provide a mathematically rigorous guarantee for the stability of the image denoising process derived from our system.
title A gradient system based on anisotropic monochrome image processing with orientation auto-adjustment
topic Analysis of PDEs
url https://arxiv.org/abs/2408.12847