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Reduced Complexity Super-Resolution for Low-Bitrate Video Compression

Georgis, G, Lentaris, G and Reisis, D (2016) Reduced Complexity Super-Resolution for Low-Bitrate Video Compression IEEE Transactions on Circuits and Systems for Video Technology, 26 (2). pp. 332-345.

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Abstract

Evolving video applications impose requirements for high image quality, low bitrate, and/or small computational cost. This paper combines state-of-the-art coding and superresolution (SR) techniques to improve video compression both in terms of coding efficiency and complexity. The proposed approach improves a generic decimation-quantization compression scheme by introducing low complexity single-image SR techniques for rescaling the data at the decoder side and by jointly exploring/optimizing the downsampling/upsampling processes. The enhanced scheme achieves improvement of the quality and system's complexity compared with conventional codecs and can be easily modified to meet various diverse requirements, such as effectively supporting any off-the-shelf video codec, for instance H.264/Advanced Video Coding or High Efficiency Video Coding. Our approach builds on studying the generic scheme's parameterization with common rescaling techniques to achieve 2.4-dB peak signal-to-noise ratio (PSNR) quality improvement at low-bitrates compared with the conventional codecs and proposes a novel SR algorithm to advance the critical bitrate at the level of 10 Mb/s. The evaluation of the SR algorithm includes the comparison of its performance to other image rescaling solutions of the literature. The results show quality improvement by 5-dB PSNR over straightforward interpolation techniques and computational time reduction by three orders of magnitude when compared with the highly involved methods of the field. Therefore, our algorithm proves to be most suitable for use in reduced complexity downsampled compression schemes.

Item Type: Article
Subjects : Electronic Engineering
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
AuthorsEmailORCID
Georgis, GUNSPECIFIEDUNSPECIFIED
Lentaris, GUNSPECIFIEDUNSPECIFIED
Reisis, DUNSPECIFIEDUNSPECIFIED
Date : February 2016
Identification Number : https://doi.org/10.1109/TCSVT.2015.2389431
Copyright Disclaimer : © 2015 IEEE
Depositing User : Symplectic Elements
Date Deposited : 31 Oct 2016 14:02
Last Modified : 31 Oct 2016 14:02
URI: http://epubs.surrey.ac.uk/id/eprint/812689

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