scholarly journals Non-Local Patch-Based Image Inpainting

2017 ◽  
Vol 7 ◽  
pp. 373-385 ◽  
Author(s):  
Alasdair Newson ◽  
Andrés Almansa ◽  
Yann Gousseau ◽  
Patrick Pérez
Keyword(s):  
Image Inpainting ◽  
Local Patch ◽  
Non Local

scholarly journals Non-Local and Multi-Scale Mechanisms for Image Inpainting

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3281
Author(s):  
Xu He ◽  
Yong Yin
Keyword(s):  
Markov Random Fields ◽  
Receptive Fields ◽  
Image Inpainting ◽  
Long Distance ◽  
Visual Appearance ◽  
Fine Grained ◽  
Multi Scale ◽  
Non Local ◽  
Relationship Of

Recently, deep learning-based techniques have shown great power in image inpainting especially dealing with squared holes. However, they fail to generate plausible results inside the missing regions for irregular and large holes as there is a lack of understanding between missing regions and existing counterparts. To overcome this limitation, we combine two non-local mechanisms including a contextual attention module (CAM) and an implicit diversified Markov random fields (ID-MRF) loss with a multi-scale architecture which uses several dense fusion blocks (DFB) based on the dense combination of dilated convolution to guide the generative network to restore discontinuous and continuous large masked areas. To prevent color discrepancies and grid-like artifacts, we apply the ID-MRF loss to improve the visual appearance by comparing similarities of long-distance feature patches. To further capture the long-term relationship of different regions in large missing regions, we introduce the CAM. Although CAM has the ability to create plausible results via reconstructing refined features, it depends on initial predicted results. Hence, we employ the DFB to obtain larger and more effective receptive fields, which benefits to predict more precise and fine-grained information for CAM. Extensive experiments on two widely-used datasets demonstrate that our proposed framework significantly outperforms the state-of-the-art approaches both in quantity and quality.

Non-Local Image Inpainting Using Low-Rank Matrix Completion

2014 ◽  
Vol 34 (6) ◽  
pp. 111-122 ◽  
Author(s):  
Wei Li ◽  
Lei Zhao ◽  
Zhijie Lin ◽  
Duanqing Xu ◽  
Dongming Lu
Keyword(s):  
Matrix Completion ◽  
Image Inpainting ◽  
Low Rank ◽  
Rank Matrix ◽  
Non Local ◽  
Low Rank Matrix Completion ◽  
Low Rank Matrix ◽  
Local Image

scholarly journals Non-Local Sparse Image Inpainting for Document Bleed-Through Removal

2018 ◽  
Vol 4 (5) ◽  
pp. 68 ◽  
Author(s):  
Muhammad Hanif ◽  
Anna Tonazzini ◽  
Pasquale Savino ◽  
Emanuele Salerno
Keyword(s):  
Image Inpainting ◽  
Non Local ◽  
Bleed Through
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