Exemplar-based image inpainting using structural feature offsets statistics

Zhidan Li; Jixiang Cheng

doi:10.1117/12.2502934

9 August 2018 Exemplar-based image inpainting using structural feature offsets statistics

Zhidan Li, Jixiang Cheng

Proceedings Volume 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018); 1080606 (2018) https://doi.org/10.1117/12.2502934
Event: Tenth International Conference on Digital Image Processing (ICDIP 2018), 2018, Shanghai, China

Abstract

To well maintain structure coherence of a repaired image, an exemplar-based image inpainting algorithm using structural feature offsets statistics is proposed. First, the whole degraded image is partitioned into structural part and non-structural part using Canny operator. Afterwards, the patch offsets statistics of each part are separately calculated and only a few dominant offsets for each part are selected as candidate labels. Finally, global energy function is constructed by simultaneously considering color and gradient information and solved by using multi-label graph cuts. Experimental results show that the proposed method yields generally better inpainted effect than three state-of-the-art methods in terms of structure coherence and neighborhood consistence.

Citation Download Citation

Zhidan Li and Jixiang Cheng "Exemplar-based image inpainting using structural feature offsets statistics", Proc. SPIE 10806, Tenth International Conference on Digital Image Processing (ICDIP 2018), 1080606 (9 August 2018); https://doi.org/10.1117/12.2502934

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KEYWORDS

Magnetorheological finishing

Coherence (optics)

Detection and tracking algorithms

Image resolution

RGB color model

Electrical engineering

Image processing

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