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Journal of Electronic Imaging

Image completion based on statistical texture analysis
Author(s): Sameh Zarif; Ibrahima Faye; Dayang Rohaya
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Paper 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.

Paper Details

Date Published: 23 February 2015
PDF: 17 pages
J. Electron. Imag. 24(1) 013032 doi: 10.1117/1.JEI.24.1.013032
Published in: Journal of Electronic Imaging Volume 24, Issue 1
Show Author Affiliations
Sameh Zarif, Univ. Teknologi Petronas (Malaysia)
Ibrahima Faye, Univ. Teknologi Petronas (Malaysia)
Dayang Rohaya, Univ. Teknologi Petronas (Malaysia)

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