@inproceedings{9842ce60d2f64a70a4ec6f829d491b52,
title = "Occlusion removal of fa{\c c} ade texture with constrained image inpainting",
abstract = "Image inpainting is an effective approach to remove unwanted objects and fill holes in digital images. However, directly applying existing general-purpose digital inpainting algorithms to the correction of fa{\c c}ade texture images with occlusions may not produce satisfactory results. This research developed a constrained image inpainting algorithm specifically designed for the correction of occluded fa{\c c}ade texture images. The objective is to remove selected occlusions of fa{\c c}ade texture images and restore the damaged texture blocks with reasonable textures identified with the developed constrained inpainting algorithm. In comparison with existing inpainting approaches, it can restore the occluded texture blocks more reasonably based on fa{\c c}ade structures such as pillars, girders and window frames. Important inpainting parameters, such as window size and search area of inpainting were also investigated to achieve better inpainting results. The developed constrained inpainting algorithms were applied to real building fa{\c c}ade images to validate their performance and to identify appropriate inpainting parameters for correcting fa{\c c}ade texture occlusions.",
keywords = "Fa{\c c}ade texture, Image restoration, Inpainting, Isophote",
author = "Chen, {Ping Shen} and Fuan Tsai",
year = "2009",
language = "???core.languages.en_GB???",
isbn = "9781615679843",
series = "30th Asian Conference on Remote Sensing 2009, ACRS 2009",
pages = "1195--1200",
booktitle = "30th Asian Conference on Remote Sensing 2009, ACRS 2009",
note = "30th Asian Conference on Remote Sensing 2009, ACRS 2009 ; Conference date: 18-10-2009 Through 23-10-2009",
}