An Image Inpainting Algorithm Based on Local Geometric Similarity

Autor:	Jiwu Zhu, Pan Qi, Xiaonan Luo
Rok vydání:	2009
Předmět:	Weight function Group (mathematics) Orientation (computer vision) Computer science Inpainting Process (computing) Non-local means Algorithm Image (mathematics) Interpolation
Zdroj:	Lecture Notes in Computer Science ISBN: 9783540928911 MMM
DOI:	10.1007/978-3-540-92892-8_43
Popis:	This paper proposes a novel noniterative orientation adaptive image inpainting algorithm. Assuming the image can be locally modeled, the filling process is formulated as a linear optimization problem, which the optimal coefficients can be adapted to match an arbitrary-oriented edge based on local geometric similarity . We provided A Weighted Least Square (WLS) method is provided to offer a convenient way of finding the optimal solution, which the weight function is selected based on the non local means. We also present Group Marching method (GMM) as the propagation scheme such that sharp edges are well propagated into the missing region layer by layer while maintaining the local geometric similarity. A number of examples on real and synthetic images demonstrate the effectiveness of our algorithm.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::5560446924922dd9b0c3a73af764b527 https://doi.org/10.1007/978-3-540-92892-8_43 Zobrazit plný text záznamu