Autor:
Współtwórca:
Makowski, Ryszard - ed. ; Zarzycki, Jan - ed.
Tytuł:
An efficient algorithm for adaptive total variation based image decomposition and restoration
Podtytuł:
Tytuł publikacji grupowej:
Temat i słowa kluczowe:
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.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Data wydania:
Typ zasobu:
DOI:
Strony:
Źródło:
AMCS, volume 24, number 2 (2014) ; kliknij tutaj, żeby przejść