A perceptual image completion approach based on a hierarchical optimization scheme

Abstract : This paper aims at introducing a novel efficient approach for high-quality and fast image restoration by combining both a greedy strategy and a global optimization strategy, based on a pyramidal representation of the image. A coarse version of the input image is first restored by exemplar-based method using a greedy strategy. From the low-resolution inpainted image, higher resolutions are interpolated and refined by a global optimization strategy. Experimental results on natural images demonstrate the effectiveness of the proposed method. Moreover, a comparison with some methods of the state-of-the-art confirms its superiority in terms of image quality and computational time.
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https://hal.archives-ouvertes.fr/hal-00914942
Contributeur : Mohamed-Chaker Larabi <>
Soumis le : vendredi 6 décembre 2013 - 12:05:22
Dernière modification le : mardi 11 octobre 2016 - 14:48:07

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Trung Thanh Dang, Azeddine Beghdadi, Mohamed-Chaker Larabi. A perceptual image completion approach based on a hierarchical optimization scheme. Signal Processing, Elsevier, 2014, 103, pp.127-141. 〈10.1016/j.sigpro.2013.11.036〉. 〈hal-00914942〉

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