Image completion based on statistical texture analysis

Zarif, S. and Faye, I. and Rohaya, D. (2015) Image completion based on statistical texture analysis. Journal of Electronic Imaging, 24 (1).

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Image completion is an active subject in image and video processing, which deals with the recovery of original data. Most previous image completion techniques required extensive searches to find the most suited texture to repair the damaged area. In addition, visual artifacts tend to appear when the damaged area is large. We present a fast texture synthesis and image completion method that does not require an extensive search process. The proposed method is based on gray-level co-occurrence matrix and weighted two-side hole filling. The method gives high quality results compared with state-of-the-art methods. It reduces the time from hundreds of seconds to a few milliseconds and is able to repair large damaged areas without artifacts or shadows. © 2015 SPIE and IS&T.

Item Type: Article
Impact Factor: cited By 6
Uncontrolled Keywords: Computer graphics; Image processing; Repair; Textures; Video signal processing, Gray level co-occurrence matrix; Image and video processing; Image completion; Image Inpainting; State-of-the-art methods; Texture analysis; Texture synthesis; Visual artifacts, Image texture
Depositing User: Ms Sharifah Fahimah Saiyed Yeop
Date Deposited: 30 Aug 2021 08:52
Last Modified: 30 Aug 2021 08:52
URI: http://scholars.utp.edu.my/id/eprint/26123

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