Image completion based on statistical texture analysis

Sameh Zarif; Ibrahima Faye; Dayang Rohaya

doi: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.

Citation Download Citation

Sameh Zarif, Sameh Zarif, Ibrahima Faye, Ibrahima Faye, Dayang Rohaya, 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 . Submission:

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