Sanchez Silva, Victor, Auli-Llinas, Francesc and Serra-Sagristà, Joan (2016) Piecewise mapping in HEVC lossless intra-prediction coding. IEEE Transactions on Image Processing, 25 (9). 4004 -4017. doi:10.1109/TIP.2016.2571065 ISSN 1057-7149.

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Abstract

The lossless intra-prediction coding modality of the High Efficiency Video Coding (HEVC) standard provides high coding performance while following frame-by-frame basis access to the coded data. This is of interest in many professional applications such as medical imaging, automotive vision and digital preservation in libraries and archives. Various improvements to lossless intra-prediction coding have been
proposed recently, most of them based on sample-wise prediction using Differential Pulse Code Modulation (DPCM). Other recent proposals aim at further reducing the energy of intra-predicted residual blocks. However, the energy reduction achieved is frequently minimal due to the difficulty of correctly predicting the sign and magnitude of residual values. In this paper, we pursue a novel approach to this energy-reduction problem using piecewise mapping (pwm) functions. Specifically, we analyze the range of values in residual blocks and apply accordingly a pwm function to map specific residual values to unique lower values. We encode appropriate parameters associated with the pwm functions at the encoder, so that the corresponding inverse pwm
functions at the decoder can map values back to the same residual values. These residual values are then used to reconstruct the original signal. This mapping is, therefore, reversible and introduces no losses. We evaluate the pwm functions on 4×4 residual blocks computed after DPCM-based prediction for lossless coding of a variety of camera-captured and screen content sequences. Evaluation results show that the pwm functions can attain maximum bit-rate reductions of 5.54% and 28.33% for screen content material compared to DPCM-based
and block-wise intra-prediction, respectively. Compared to IntraBlock
Copy, piecewise mapping can attain maximum bit-rate reductions of 11.48% for camera-captured material.

Item Type:	Journal Article
Subjects:	T Technology > TR Photography
Divisions:	Faculty of Science, Engineering and Medicine > Science > Computer Science
Library of Congress Subject Headings (LCSH):	High definition video recording, Coding theory
Journal or Publication Title:	IEEE Transactions on Image Processing
Publisher:	IEEE
ISSN:	1057-7149
Official Date:	September 2016
Dates:	Date Event September 2016 Published 19 May 2016 Available 10 May 2016 Accepted
Volume:	25
Number:	9
Number of Pages:	14
Page Range:	4004 -4017
DOI:	10.1109/TIP.2016.2571065
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Restricted or Subscription Access
Date of first compliant deposit:	4 August 2016
Date of first compliant Open Access:	4 August 2016
Funder:	European Union (EU), European Regional Development Fund (ERDF), Spain. Ministerio de Economía y Competitividad [Ministry of Economy and Competitiveness] (MINECO), Catalan
Grant number:	TIN2015-71126-R, TIN2012-38102-C03-03 (LIFE-VISION), 2014SGR-691
Is Part Of:	EU Marie Curie CIG Programme (grant PIMCO), FEDER, the Spanish Ministry of Economy and Competitiveness (MINECO), and the Catalan Government under grants TIN2015-71126-R, TIN2012-38102-C03-03 (LIFE-VISION) and 2014SGR- 691.

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