Abstract
This work introduces a new technique for lossless compression of color images. The technique is composed of first transforming an RGB image into luminance and chrominance domain (Y CuCv). Then, the luminance channel Y is compressed with a context-based, adaptive, lossless image coding technique (CALIC). After processing the chrominance channels with a hierarchical prediction technique that was introduced by Kim and Cho, Burrows-Wheeler Inversion Coder (BWIC) or JPEG 2000 is used to compress of the chrominance channels Cu and Cv. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other well-known compression schemes such as CALIC, JPEG 2000, LOCO-I, BPG(HEVC), and the previously proposed hierarchical prediction and context adaptive coding technique LCIC.
| Original language | English (US) |
|---|---|
| Title of host publication | Proceedings - DCC 2019 |
| Subtitle of host publication | 2019 Data Compression Conference |
| Editors | Ali Bilgin, James A. Storer, Joan Serra-Sagrista, Michael W. Marcellin |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Number of pages | 1 |
| ISBN (Electronic) | 9781728106571 |
| DOIs | |
| State | Published - May 10 2019 |
| Event | 2019 Data Compression Conference, DCC 2019 - Snowbird, United States Duration: Mar 26 2019 → Mar 29 2019 |
Publication series
| Name | Data Compression Conference Proceedings |
|---|---|
| Volume | 2019-March |
| ISSN (Print) | 1068-0314 |
Conference
| Conference | 2019 Data Compression Conference, DCC 2019 |
|---|---|
| Country | United States |
| City | Snowbird |
| Period | 3/26/19 → 3/29/19 |
Fingerprint
Keywords
- BWIC
- BWT
- CALIC
- JPEG 2000
ASJC Scopus subject areas
- Computer Networks and Communications
Cite this
A New Technique for Lossless Compression of Color Images Based on Hierarchical Prediction, Inversion and Context Adaptive Coding. / Koc, Basar; Arnavut, Ziya; Sarkar, Dilip; Kocak, Huseyin.
Proceedings - DCC 2019: 2019 Data Compression Conference. ed. / Ali Bilgin; James A. Storer; Joan Serra-Sagrista; Michael W. Marcellin. Institute of Electrical and Electronics Engineers Inc., 2019. 8712643 (Data Compression Conference Proceedings; Vol. 2019-March).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A New Technique for Lossless Compression of Color Images Based on Hierarchical Prediction, Inversion and Context Adaptive Coding
AU - Koc, Basar
AU - Arnavut, Ziya
AU - Sarkar, Dilip
AU - Kocak, Huseyin
PY - 2019/5/10
Y1 - 2019/5/10
N2 - This work introduces a new technique for lossless compression of color images. The technique is composed of first transforming an RGB image into luminance and chrominance domain (Y CuCv). Then, the luminance channel Y is compressed with a context-based, adaptive, lossless image coding technique (CALIC). After processing the chrominance channels with a hierarchical prediction technique that was introduced by Kim and Cho, Burrows-Wheeler Inversion Coder (BWIC) or JPEG 2000 is used to compress of the chrominance channels Cu and Cv. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other well-known compression schemes such as CALIC, JPEG 2000, LOCO-I, BPG(HEVC), and the previously proposed hierarchical prediction and context adaptive coding technique LCIC.
AB - This work introduces a new technique for lossless compression of color images. The technique is composed of first transforming an RGB image into luminance and chrominance domain (Y CuCv). Then, the luminance channel Y is compressed with a context-based, adaptive, lossless image coding technique (CALIC). After processing the chrominance channels with a hierarchical prediction technique that was introduced by Kim and Cho, Burrows-Wheeler Inversion Coder (BWIC) or JPEG 2000 is used to compress of the chrominance channels Cu and Cv. It is demonstrated that, on a wide variety of images, particularly on medical images, the technique achieves substantial compression gains over other well-known compression schemes such as CALIC, JPEG 2000, LOCO-I, BPG(HEVC), and the previously proposed hierarchical prediction and context adaptive coding technique LCIC.
KW - BWIC
KW - BWT
KW - CALIC
KW - JPEG 2000
UR - http://www.scopus.com/inward/record.url?scp=85066333707&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85066333707&partnerID=8YFLogxK
U2 - 10.1109/DCC.2019.00096
DO - 10.1109/DCC.2019.00096
M3 - Conference contribution
AN - SCOPUS:85066333707
T3 - Data Compression Conference Proceedings
BT - Proceedings - DCC 2019
A2 - Bilgin, Ali
A2 - Storer, James A.
A2 - Serra-Sagrista, Joan
A2 - Marcellin, Michael W.
PB - Institute of Electrical and Electronics Engineers Inc.
ER -