Image completion based on statistical texture analysis

Sameh Zarif; Ibrahima Faye; Dayang Rohaya

doi:10.1117/1.JEI.24.1.013032

23 February 2015 Image completion based on statistical texture analysis

Sameh Zarif, Ibrahima Faye, Dayang Rohaya

Author Affiliations +

Journal of Electronic Imaging, Vol. 24, Issue 1, 013032 (February 2015). https://doi.org/10.1117/1.JEI.24.1.013032

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.

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Sameh Zarif, Ibrahima Faye, and Dayang Rohaya "Image completion based on statistical texture analysis," Journal of Electronic Imaging 24(1), 013032 (23 February 2015). https://doi.org/10.1117/1.JEI.24.1.013032

Published: 23 February 2015

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