Abstract
We present an efficient compression method based on the hybrid wavelets and directional filter banks (HWD), to achieve high compression efficiency while keeping visually pleasing reconstruction quality for underwater images. According to the characteristics of underwater images and the human vision system (HVS), an improved just noticeable distortion (JND) model is initially employed to adaptively remove the visual redundancy of underwater images in the HWD domain. The low-frequency coefficients are then quantized in the fixed length and encoded losslessly. The high-frequency coefficients are quantized by variable precision and fixed length method, and are coded by the difference reduction algorithm based on HWD trees. The experimental results show that the proposed compression algorithm provides both high coding efficiency and satisfactory reconstruction quality, which is highly desired for the transmission of underwater images at very low-bit rates.
| Original language | English (US) |
|---|---|
| Title of host publication | MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Print) | 9781479987368 |
| DOIs | |
| State | Published - Sep 17 2015 |
| Event | MTS/IEEE OCEANS 2015 - Genova - Genova, Italy Duration: May 18 2015 → May 21 2015 |
Other
| Other | MTS/IEEE OCEANS 2015 - Genova |
|---|---|
| Country | Italy |
| City | Genova |
| Period | 5/18/15 → 5/21/15 |
Fingerprint
Keywords
- HWD transform
- image compression
- just noticeable distortion
- low-bit-rate coding
- underwater imaging
ASJC Scopus subject areas
- Renewable Energy, Sustainability and the Environment
- Oceanography
Cite this
Seafloor image compression using hybrid wavelets and directional filter banks. / Zhang, Y.; Li, Q. Z.; Negahdaripour, Shahriar.
MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World. Institute of Electrical and Electronics Engineers Inc., 2015. 7271251.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Seafloor image compression using hybrid wavelets and directional filter banks
AU - Zhang, Y.
AU - Li, Q. Z.
AU - Negahdaripour, Shahriar
PY - 2015/9/17
Y1 - 2015/9/17
N2 - We present an efficient compression method based on the hybrid wavelets and directional filter banks (HWD), to achieve high compression efficiency while keeping visually pleasing reconstruction quality for underwater images. According to the characteristics of underwater images and the human vision system (HVS), an improved just noticeable distortion (JND) model is initially employed to adaptively remove the visual redundancy of underwater images in the HWD domain. The low-frequency coefficients are then quantized in the fixed length and encoded losslessly. The high-frequency coefficients are quantized by variable precision and fixed length method, and are coded by the difference reduction algorithm based on HWD trees. The experimental results show that the proposed compression algorithm provides both high coding efficiency and satisfactory reconstruction quality, which is highly desired for the transmission of underwater images at very low-bit rates.
AB - We present an efficient compression method based on the hybrid wavelets and directional filter banks (HWD), to achieve high compression efficiency while keeping visually pleasing reconstruction quality for underwater images. According to the characteristics of underwater images and the human vision system (HVS), an improved just noticeable distortion (JND) model is initially employed to adaptively remove the visual redundancy of underwater images in the HWD domain. The low-frequency coefficients are then quantized in the fixed length and encoded losslessly. The high-frequency coefficients are quantized by variable precision and fixed length method, and are coded by the difference reduction algorithm based on HWD trees. The experimental results show that the proposed compression algorithm provides both high coding efficiency and satisfactory reconstruction quality, which is highly desired for the transmission of underwater images at very low-bit rates.
KW - HWD transform
KW - image compression
KW - just noticeable distortion
KW - low-bit-rate coding
KW - underwater imaging
UR - http://www.scopus.com/inward/record.url?scp=84957646116&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84957646116&partnerID=8YFLogxK
U2 - 10.1109/OCEANS-Genova.2015.7271251
DO - 10.1109/OCEANS-Genova.2015.7271251
M3 - Conference contribution
SN - 9781479987368
BT - MTS/IEEE OCEANS 2015 - Genova: Discovering Sustainable Ocean Energy for a New World
PB - Institute of Electrical and Electronics Engineers Inc.
ER -