Shao, Ling, Wang, Jingnan, Kirenko, Ihor et al. (1 more author) (2011) Quality Adaptive Least Squares Trained Filters for Video Compression Artifacts Removal Using a No-reference Block Visibility Metric. Journal of Visual Communication and Image Representation, 22 (1). pp. 23-32. ISSN 1047-3203
Abstract
Compression artifacts removal is a challenging problem because videos can be compressed at different qualities. In this paper, a least squares approach that is self-adaptive to the visual quality of the input sequence is proposed. For compression artifacts, the visual quality of an image is measured by a no-reference block visibility metric. According to the blockiness visibility of an input image, an appropriate set of filter coefficients that are trained beforehand is selected for optimally removing coding artifacts and reconstructing object details. The performance of the proposed algorithm is evaluated on a variety of sequences compressed at different qualities in comparison to several other deblocking techniques. The proposed method outperforms the others significantly both objectively and subjectively.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | Copyright © 2010 Elsevier Inc. This is an author produced version of the published paper. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Trained filters, compression artifacts removal, image enhancement, block visibility metric |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Electronic and Electrical Engineering (Sheffield) |
Depositing User: | Dr. Ling Shao |
Date Deposited: | 05 Apr 2011 11:37 |
Last Modified: | 15 Sep 2014 01:24 |
Published Version: | http://dx.doi.org/10.1016/j.jvcir.2010.09.007 |
Status: | Published |
Publisher: | Elsevier |
Refereed: | Yes |
Identification Number: | 10.1016/j.jvcir.2010.09.007 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:42895 |