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When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation

Abstract: 

This paper combines spatially-variant filtering and non-local low-rank regularization (NLR) to exploit non-local similarity in natural images in addressing the problem of image interpolation. We propose to build a carefully designed spatially-variant, non-local filtering scheme to generate a reliable estimate of the interpolated image and utilize NLR to refine the estimation. Our work uses a simple, parallelizable algorithm without the need to solve complicated optimization problems. Experiment results demonstrate that our algorithm significantly improves PSNR and SSIM of the interpolated images compared with state-of-the-art algorithms.

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Paper Details

Authors:
Submitted On:
25 September 2019 - 11:39am
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Type:
Presentation Slides
Event:
Presenter's Name:
Lantao Yu
Paper Code:
3833
Document Year:
2019
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When spatially-variant filtering meets low rank approximation.pdf

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[1] , "When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4842. Accessed: Dec. 10, 2019.
@article{4842-19,
url = {http://sigport.org/4842},
author = { },
publisher = {IEEE SigPort},
title = {When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation},
year = {2019} }
TY - EJOUR
T1 - When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation
AU -
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4842
ER -
. (2019). When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation. IEEE SigPort. http://sigport.org/4842
, 2019. When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation. Available at: http://sigport.org/4842.
. (2019). "When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation." Web.
1. . When Spatially-Variant Filtering Meets Low-Rank Regularization: Exploiting Non-Local Similarity for Single Image Interpolation [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4842