DocumentCode
149126
Title
Rate distortion optimized tone curve for high dynamic range compression
Author
Le Pendu, Mikael ; Guillemot, Christine ; Thoreau, Dominique
Author_Institution
INRIA, Rennes, France
fYear
2014
fDate
1-5 Sept. 2014
Firstpage
1612
Lastpage
1616
Abstract
In this paper, we define a reversible tone mapping-operator (TMO) for efficient compression of High Dynamic Range (HDR) images using a Low Dynamic Range (LDR) encoder. In our compression scheme, the HDR image is tone mapped and encoded. The inverse tone curve is also encoded, so that the decoder can reconstruct the HDR image from the LDR version. Based on a statistical model of the encoder error and assumptions on the rate of the encoded LDR image, we find a closed form solution for the optimal tone curve with respect to the rate and the mean square error (MSE) of the reconstructed HDR image. It is shown that the proposed method gives superior compression performance compared to existing tone mapping operators.
Keywords
data compression; decoding; image coding; image reconstruction; mean square error methods; rate distortion theory; statistical analysis; HDR image compression; HDR image reconstruction; LDR encoder; MSE; TMO; high dynamic range image compression; inverse tone curve; low dynamic range encoder; mean square error; rate distortion optimized tone curve; reversible tone mapping-operator; statistical model; Bit rate; Dynamic range; Image coding; Image reconstruction; Mathematical model; Rate-distortion; Standards; Companding; Gaussian Mixture Model (GMM); HEVC; High Dynamic Range (HDR); Tone Mapping;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location
Lisbon
Type
conf
Filename
6952582
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