Abstract
The pseudo-distance technique (PDT) in lossless compression of color-mapped images has proved to be effective. We showed previously that by utilizing the PDT along with the Burrows-Wheeler transformation and an entropy coder, we obtained better compression gain than other well-known generic image compressors e.g. Portable Network Graphics (PNG). Most of these techniques have been designed as sequential image compression algorithms. In this paper, we propose a method for the PDT which allows to the parallelization of the PDT and reduces the compression time significantly.
| Original language | English (US) |
|---|---|
| Title of host publication | 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013 |
| Publisher | IEEE Computer Society |
| Pages | 131-135 |
| Number of pages | 5 |
| ISBN (Print) | 9781479925698 |
| DOIs | |
| State | Published - 2013 |
| Event | 10th International Conference on High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013 - Famagusta, Cyprus Duration: Dec 11 2013 → Dec 13 2013 |
Other
| Other | 10th International Conference on High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013 |
|---|---|
| Country | Cyprus |
| City | Famagusta |
| Period | 12/11/13 → 12/13/13 |
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Keywords
- color-mapped images
- lossless compression
- Parallel compression
- PNG
- pseudo-distance metric
ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
Parallel lossless compression of color-mapped images. / Koc, Basar; Arnavut, Ziya; Kocak, Huseyin.
2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013. IEEE Computer Society, 2013. p. 131-135 6729771.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Parallel lossless compression of color-mapped images
AU - Koc, Basar
AU - Arnavut, Ziya
AU - Kocak, Huseyin
PY - 2013
Y1 - 2013
N2 - The pseudo-distance technique (PDT) in lossless compression of color-mapped images has proved to be effective. We showed previously that by utilizing the PDT along with the Burrows-Wheeler transformation and an entropy coder, we obtained better compression gain than other well-known generic image compressors e.g. Portable Network Graphics (PNG). Most of these techniques have been designed as sequential image compression algorithms. In this paper, we propose a method for the PDT which allows to the parallelization of the PDT and reduces the compression time significantly.
AB - The pseudo-distance technique (PDT) in lossless compression of color-mapped images has proved to be effective. We showed previously that by utilizing the PDT along with the Burrows-Wheeler transformation and an entropy coder, we obtained better compression gain than other well-known generic image compressors e.g. Portable Network Graphics (PNG). Most of these techniques have been designed as sequential image compression algorithms. In this paper, we propose a method for the PDT which allows to the parallelization of the PDT and reduces the compression time significantly.
KW - color-mapped images
KW - lossless compression
KW - Parallel compression
KW - PNG
KW - pseudo-distance metric
UR - http://www.scopus.com/inward/record.url?scp=84894497373&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84894497373&partnerID=8YFLogxK
U2 - 10.1109/HONET.2013.6729771
DO - 10.1109/HONET.2013.6729771
M3 - Conference contribution
AN - SCOPUS:84894497373
SN - 9781479925698
SP - 131
EP - 135
BT - 2013 High Capacity Optical Networks and Emerging/Enabling Technologies, HONET-CNS 2013
PB - IEEE Computer Society
ER -