Abstract
Data compression is a challenging process with important practical applications. Specialized techniques for lossy and lossless data compression have been the subject of numerous investigations during last several decades. Previously, we studied the use of the pseudo-distance technique (PDT) in lossless compression of color-mapped images and its parallel implementation. In this paper we present a new technique (PDT2) to improve compression gain of PDT. We also present a parallelized implementation of the new technique, which results in substantial gains in compression time while providing the desired compression efficiency. We demonstrate that on non-dithered images PDT2 outperforms PDT by 22.4% and PNG by 29.3%. On dithered images, PDT2 achieves compression gains of 7.1% over PDT and 23.8% over PNG. We also show that the parallel implementation of PDT2, while compromising compression less than 0.3%, achieves near linear speedup and utilization of Intel Hyper-Threading technology on supported systems improves speedup on average 18%.
| Original language | English (US) |
|---|---|
| Journal | Computers and Electrical Engineering |
| DOIs | |
| State | Accepted/In press - May 15 2014 |
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Keywords
- BWT
- Color-mapped images
- Hyper-Threading
- Parallel image compression
- PDT
- PNG
ASJC Scopus subject areas
- Computer Science(all)
- Electrical and Electronic Engineering
- Control and Systems Engineering
Cite this
The pseudo-distance technique for parallel lossless compression of color-mapped images. / Koc, Basar; Arnavut, Ziya; Kocak, Huseyin.
In: Computers and Electrical Engineering, 15.05.2014.Research output: Contribution to journal › Article
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TY - JOUR
T1 - The pseudo-distance technique for parallel lossless compression of color-mapped images
AU - Koc, Basar
AU - Arnavut, Ziya
AU - Kocak, Huseyin
PY - 2014/5/15
Y1 - 2014/5/15
N2 - Data compression is a challenging process with important practical applications. Specialized techniques for lossy and lossless data compression have been the subject of numerous investigations during last several decades. Previously, we studied the use of the pseudo-distance technique (PDT) in lossless compression of color-mapped images and its parallel implementation. In this paper we present a new technique (PDT2) to improve compression gain of PDT. We also present a parallelized implementation of the new technique, which results in substantial gains in compression time while providing the desired compression efficiency. We demonstrate that on non-dithered images PDT2 outperforms PDT by 22.4% and PNG by 29.3%. On dithered images, PDT2 achieves compression gains of 7.1% over PDT and 23.8% over PNG. We also show that the parallel implementation of PDT2, while compromising compression less than 0.3%, achieves near linear speedup and utilization of Intel Hyper-Threading technology on supported systems improves speedup on average 18%.
AB - Data compression is a challenging process with important practical applications. Specialized techniques for lossy and lossless data compression have been the subject of numerous investigations during last several decades. Previously, we studied the use of the pseudo-distance technique (PDT) in lossless compression of color-mapped images and its parallel implementation. In this paper we present a new technique (PDT2) to improve compression gain of PDT. We also present a parallelized implementation of the new technique, which results in substantial gains in compression time while providing the desired compression efficiency. We demonstrate that on non-dithered images PDT2 outperforms PDT by 22.4% and PNG by 29.3%. On dithered images, PDT2 achieves compression gains of 7.1% over PDT and 23.8% over PNG. We also show that the parallel implementation of PDT2, while compromising compression less than 0.3%, achieves near linear speedup and utilization of Intel Hyper-Threading technology on supported systems improves speedup on average 18%.
KW - BWT
KW - Color-mapped images
KW - Hyper-Threading
KW - Parallel image compression
KW - PDT
KW - PNG
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U2 - 10.1016/j.compeleceng.2015.01.003
DO - 10.1016/j.compeleceng.2015.01.003
M3 - Article
AN - SCOPUS:84924690872
JO - Computers and Electrical Engineering
JF - Computers and Electrical Engineering
SN - 0045-7906
ER -