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Journal Article Efficient Texture Creation Based on Random Patches in Database and Guided Filter
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Authors
Seok Bong YOO, Mikyong HAN
Issue Date
2018-11
Citation
IEICE Transactions on Information and Systems, v.E101-D, no.11, pp.2840-2843
ISSN
1745-1361
Publisher
일본, 전자정보통신학회 (IEICE)
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1587/transinf.2018EDL8143
Abstract
As the display resolution increases, an effective image upscaling technique is required for recent displays such as an ultra-highdefinition display. Even though various image super-resolution algorithms have been developed for the image upscaling, they still do not provide the excellent performance in the ultra-high-definition display. This is because the texture creation capability in the algorithms is not sufficient. Hence, this paper proposes an efficient texture creation algorithm for enhancing the texture super-resolution performance. For the texture creation, we build a database with random patches in the off-line processing and we then synthesize fine textures by employing guided filter in the on-line real-time processing, based on the database. Experimental results show that the proposed texture creation algorithm provides sharper and finer textures compared with the existing state-of-the-art algorithms.
KSP Keywords
High definition, Image super resolution, Off-line, Real-Time processing, display resolution, excellent performance, existing state, guided filter, image upscaling, on-line, state-of-The-Art