An advanced total variation model in H-1 space for image inpainting

Authors: Liu, L., Cheng, D.S., Wang, J., Tian, F., He, S.W. and Shi, D.M.

Start date: 23 October 2015

Image inpainting is to restore a damaged image with missing information – a fundamental problem and a hot research area in image processing. Many approaches, both geometry oriented and texture oriented, have been proposed on inpainting such as total variation (TV), Criminisi algorithm, etc. However, these approaches suffer from either limitations such as only suitable for small areas (of cracks, for example), staircase effect (discontinuity), or inefficient (time-consuming) to search the best match patch (for filling-in). In this paper we propose a novel approach based on partial differential equation (PDE) and isophotes direction, named as Isophotes-TV-H-1. A corrupted image is first decomposed into two parts: the cartoon (smooth parts and edges of the image) and the texture. Then the cartoon part is inpainted through Isophotes-TV-H-1 while the texture part is done by an enhanced Criminisi algorithm which reduces the searching time for match and gives more reasonable match patches. The results of experiments on several images have demonstrated that, compared to existing methods, the proposed solution can recover the texture (of the damaged region) better, suppress error propagation and solve the problem of intensity discontinuity.

This data was imported from Scopus:

Authors: Liu, L., Cheng, D., Wang, J., Tian, F., Sun, Q. and Shi, D.

Journal: Proceedings of SPIE - The International Society for Optical Engineering

Volume: 9817

eISSN: 1996-756X

ISBN: 9781510600584

ISSN: 0277-786X

DOI: 10.1117/12.2229039

© 2015 SPIE. Image inpainting is to restore a damaged image with missing information - a fundamental problem and a hot research area in image processing. Many approaches, both geometry oriented and texture oriented, have been proposed on inpainting such as total variation (TV), Criminisi algorithm, etc. However, these approaches suffer from either limitations such as only suitable for small areas (cracks,) staircase effect (discontinuity), or inefficient (time-consuming) to search the best matched patch (for filling-in). In this paper we propose a novel approach based on partial differential equation (PDE) and isophotes direction, named as Isophotes-TV-H-1. A corrupted image is first decomposed into two parts: the cartoon (smooth parts and edges of the image) and the texture. The cartoon part is inpainted through Isophotes-TV-H-1 while the texture part is done by an enhanced Criminisi algorithm which reduces the searching time for match and gives more reasonable match patches. The results of experiments on several images have demonstrated that, compared to existing methods, the proposed solution can recover the texture (of the damaged region) better, suppress error propagation and solve the problem of intensity discontinuity.

This data was imported from Web of Science (Lite):

Authors: Liu, L., Cheng, D., Wang, J., Tian, F., Sun, Q. and Shi, D.

Journal: SEVENTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2015)

Volume: 9817

ISSN: 0277-786X

DOI: 10.1117/12.2229039

The data on this page was last updated at 11:59 on June 25, 2019.