A perceptual image completion approach based on a hierarchical optimization scheme

作者：Dang T T; Beghdadi A^*; Larabi M C

来源：Signal Processing, 2014, 103: 127-141.

DOI：10.1016/j.sigpro.2013.11.036

• Image inpainting
• Image completion
• Hierarchical representation
• Greedy algorithm
• Graph cuts

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.

• 出版日期2014-10