DocumentCode :
3276517
Title :
Optimized tone mapping with LDR image quality constraint for backward-compatible high dynamic range image and video coding
Author :
Koz, A. ; Dufaux, Frederic
Author_Institution :
Dept. Traitement du Signal et des Images, Telecom ParisTech, Paris, France
fYear :
2013
fDate :
15-18 Sept. 2013
Firstpage :
1762
Lastpage :
1766
Abstract :
Backward compatibility to low dynamic range (LDR) displays is an important requirement for high dynamic range (HDR) image and video coding in order to enable a successful transition to HDR technology. In a recent work [1], an optimized solution for tone mapping and inverse tone mapping of HDR images is achieved in terms of mean square error (MSE) of the logarithm of luminance values of HDR image pixels for backward-compatible compression. Although this pioneer optimization approach provides a well settled mathematical framework for tone mapping, one of its important shortcomings is not to take the quality of the resulting LDR images into account during the formulation. In this paper, we include the LDR image quality as a constraint to optimization problem and develop a methodology to compromise the trade-off between HDR image quality and LDR image quality during HDR image and video coding. The developed methodology is verified on HDR images by showing the increase (decrease) in the quality of generated LDR images while losing (gaining) from the rate-distortion performance of HDR image coding.
Keywords :
image coding; mean square error methods; optimisation; video coding; HDR image pixels; HDR image quality; HDR image-video coding; HDR technology; LDR image quality; LDR image quality constraint; MSE; backward-compatible compression; backward-compatible high-dynamic range image-video coding; inverse tone mapping; low-dynamic range displays; luminance values; mathematical framework; mean square error; optimization problem; optimized tone mapping; pioneer optimization approach; rate-distortion performance; Backward Compatible; Constrained Optimization; High Dynamic Range Video Compression; Tone Mapping;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing (ICIP), 2013 20th IEEE International Conference on
Conference_Location :
Melbourne, VIC
Type :
conf
DOI :
10.1109/ICIP.2013.6738363
Filename :
6738363
Link To Document :
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