Abstract
This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 |
| Pages | 431-434 |
| Number of pages | 4 |
| DOIs | |
| Publication status | Published - 2008 |
| Externally published | Yes |
| Event | 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 - Hong Kong, SAR, Hong Kong Duration: 23 Jan 2008 → 25 Jan 2008 |
Other
| Other | 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008 |
|---|---|
| Country | Hong Kong |
| City | Hong Kong, SAR |
| Period | 23/1/08 → 25/1/08 |
Fingerprint
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications. / Wang, Yan; Bermak, Amine; Bouzerdoum, Abdesselam; Ng, Brian.
Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008. 2008. p. 431-434 4459586.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - FPGA implementation of a predictive Vector Quantization image compression algorithm for image sensor applications
AU - Wang, Yan
AU - Bermak, Amine
AU - Bouzerdoum, Abdesselam
AU - Ng, Brian
PY - 2008
Y1 - 2008
N2 - This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.
AB - This paper presents a hybrid image compression scheme based on a block based compression algorithm referred to as Vector Quantization (VQ) combined with the Differential Pulse Code Modulation (DPCM) technique. The proposed image compression technique called the PVQ scheme results in enhanced image quality as compared to the standalone VQ. The generated codebooks for the PVQ scheme are more robust for image coding than that of the VQ. This made our system a suitable candidate for developing on chip image sensor with integrated data compression processor. The proposed system was validated through FPGA implementation. The resulting implementation achieved good compression and image quality with moderate system complexity.
UR - http://www.scopus.com/inward/record.url?scp=50649096180&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=50649096180&partnerID=8YFLogxK
U2 - 10.1109/DELTA.2008.69
DO - 10.1109/DELTA.2008.69
M3 - Conference contribution
AN - SCOPUS:50649096180
SN - 0769531105
SN - 9780769531106
SP - 431
EP - 434
BT - Proceedings - 4th IEEE International Symposium on Electronic Design, Test and Applications, DELTA 2008
ER -