An Adaptive Image Denoising Model Based on Tikhonov and TV Regularizations

Autor:	Kui Liu, Jieqing Tan, Benyue Su
Jazyk:	angličtina
Rok vydání:	2014
Předmět:	Electronic computers. Computer science QA75.5-76.95
Zdroj:	Advances in Multimedia, Vol 2014 (2014)
Druh dokumentu:	article
ISSN:	1687-5680 1687-5699
DOI:	10.1155/2014/934834
Popis:	To avoid the staircase artifacts, an adaptive image denoising model is proposed by the weighted combination of Tikhonov regularization and total variation regularization. In our model, Tikhonov regularization and total variation regularization can be adaptively selected based on the gradient information of the image. When the pixels belong to the smooth regions, Tikhonov regularization is adopted, which can eliminate the staircase artifacts. When the pixels locate at the edges, total variation regularization is selected, which can preserve the edges. We employ the split Bregman method to solve our model. Experimental results demonstrate that our model can obtain better performance than those of other models.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/ca258f466cdd4e418216d3d600ffda99 Zobrazit plný text záznamu Plný text View record in DOAJ