Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ICASSP.2014.6855031 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
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,Floating point,HEVC,High Dynamic Range (HDR),OpenExr,Re-quantization | Computer vision,Floating point,Computer science,Image file formats,Color depth,Artificial intelligence,Quantization (signal processing),Data compression,High dynamic range,Video compression picture types,Lossless compression | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.38 |
References | Authors | |
6 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikael Le Pendu | 1 | 36 | 6.43 |
| Christine Guillemot | 2 | 1286 | 104.25 |
| Dominique Thoreau | 3 | 74 | 13.53 |