Title :
Fast exemplar-based image inpainting approach
Author :
Hui-qin Wang ; Qing Chen ; Cheng-Hsiung Hsieh ; Peng Yu
Author_Institution :
Inf. & Control Eng. Coll., Xi´an Univ. of Archit. & Technol., Xi´an, China
Abstract :
This paper presents a way to improve the computation efficiency of exemplar-based inpainting approach in [4]. Note that the inpainting approach in [4] has computation redundancy in searching optimal patches in source region and updating fill front. A scheme to reduce source region and a modified scheme to update fill front are proposed. With the two schemes, better computation efficiency is expected. Several examples are given to justify the proposed fast inpainting approach and used to compare with the approach in [4]. The results indicate that the proposed approach has better computation efficiency than the approach in [4], as expected. Interesting enough, better visual quality of inpainted images is achieved by the proposed approach as well.
Keywords :
computational complexity; image texture; search problems; computation efficiency; computation redundancy; exemplar-based image inpainting approach; exemplar-based inpainting approach; inpainted images; searching optimal patches; source region; updating fill front; visual quality; Abstracts; TV; Exemplar-based Inpainting; Fill Front Update; Image Inpainting; Inpainting Efficiency; Reduced Source Region;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2012 International Conference on
Conference_Location :
Xian
Print_ISBN :
978-1-4673-1484-8
DOI :
10.1109/ICMLC.2012.6359638