DocumentCode :
3707758
Title :
Template based inter-layer prediction for high dynamic range scalable compression
Author :
Mikaël Le Pendu;Christine Guillemot;Dominique Thoreau
Author_Institution :
INRIA Campus de Beaulieu, 35042 Rennes Cedex France
fYear :
2015
Firstpage :
2974
Lastpage :
2978
Abstract :
This paper presents a scalable high dynamic range (HDR) image coding framework in which the base layer is a low dynamic range (LDR) version of the image that may have been generated by an arbitrary Tone Mapping Operator (TMO). Our method successfully handles the case of complex local TMOs thanks to a block-wise and non-linear approach. A novel template based Inter Layer Prediction (ILP) is designed in order to perform the inverse tone mapping of a block without the need to transmit any additional parameter to the decoder. This method enables the use of a more accurate inverse tone mapping model than the simple linear regression commonly used for block-wise ILP. Our experiments have shown an average bitrate saving of 34% on the HDR enhancement layer, compared to state of the art methods.
Keywords :
"Decoding","Image coding","Splines (mathematics)","Encoding","Dynamic range","Linear regression","Computational modeling"
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2015 IEEE International Conference on
Type :
conf
DOI :
10.1109/ICIP.2015.7351348
Filename :
7351348
Link To Document :
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