Creator:
Contributor:
Makowski, Ryszard - ed. ; Zarzycki, Jan - ed.
Title:
An efficient algorithm for adaptive total variation based image decomposition and restoration
Subtitle:
Group publication title:
Subject and Keywords:
image decomposition ; image restoration ; adaptive total variation ; H-1 norm ; split Bregman method
Abstract:
With the aim to better preserve sharp edges and important structure features in the recovered image, this article researches an improved adaptive total variation regularization and H-1 norm fidelity based strategy for image decomposition and restoration. Computationally, for minimizing the proposed energy functional, we investigate an efficient numerical algorithm-the split Bregman method, and briefly prove its convergence. ; In addition, comparisons are also made with the classical OSV (Osher-Sole-Vese) model (Osher et al., 2003) and the TV-Gabor model (Aujol et al., 2006), in terms of the edge-preserving capability and the recovered results. Numerical experiments markedly demonstrate that our novel scheme yields significantly better outcomes in image decomposition and denoising than the existing models.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Date:
Resource Type:
DOI:
Pages:
Source:
AMCS, volume 24, number 2 (2014) ; click here to follow the link