DocumentCode
180288
Title
Adaptive re-quantization for high dynamic range video compression
Author
Le Pendu, Mikael ; Guillemot, Christine ; Thoreau, Dominique
Author_Institution
INRIA, Rennes, France
fYear
2014
fDate
4-9 May 2014
Firstpage
7367
Lastpage
7371
Abstract
High Dynamic Range (HDR) images contain more intensity levels than traditional image formats. Instead of 8 or 10 bit integers, floating point values are generally used to represent the pixel data. To extend the use of existing video codecs such as HEVC to HDR floating point video sequences, we propose a method that converts the floating point data and reduces the bit depth of input images with minimal loss. Several variants of the method are proposed. They are adapted to different quality requirements. In particular, near lossless compression is addressed.
Keywords
data compression; image sequences; quantisation (signal); video codecs; video coding; HDR floating point video sequences; HEVC; adaptive requantization; floating point data; high dynamic range images; high dynamic range video compression; near lossless compression; video codecs; Dynamic range; Encoding; Image coding; PSNR; Quantization (signal); Transforms; Video coding; Floating point; HEVC; High Dynamic Range (HDR); OpenExr; Re-quantization;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
Conference_Location
Florence
Type
conf
DOI
10.1109/ICASSP.2014.6855031
Filename
6855031
Link To Document