Multi-view image coding with wavelet lifting and in-band disparity compensation

N Anantrasirichai; CN Canagarajah; DR Bull

doi:10.1109/ICIP.2005.1530321

Multi-view image coding with wavelet lifting and in-band disparity compensation

N Anantrasirichai, CN Canagarajah, DR Bull

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

8 Citations (Scopus)

408 Downloads (Pure)

Abstract

This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability. The essential key for achieving the spatial scalability is the in-band prediction. It removes correlations among subbands level-by-level via shift-invariant references obtained by overcomplete discrete wavelet transforms (ODWT). Additionally, the proposed disparity compensated view filtering is allowed to exploit the different filters and estimation parameters for each resolution level. The experiments show comparable results at full resolution and the significant improvement at coarser resolution over the conventional spatial prediction scheme.

Translated title of the contribution	Multi-view image coding with wavelet lifting and in-band disparity compensation
Original language	English
Title of host publication	IEEE International Conference on Image Processing 2005 (ICIP 2005) Genova, Italy
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	33 - 36
Number of pages	4
Volume	III
ISBN (Print)	0780391349
DOIs	https://doi.org/10.1109/ICIP.2005.1530321
Publication status	Published - Sept 2005
Event	International Conference on Image Processing (2005) - Genoa Duration: 1 Sept 2005 → …

Conference

Conference	International Conference on Image Processing (2005)
City	Genoa
Period	1/09/05 → …

Bibliographical note

Rose publication type: Conference contribution

Terms of use: Copyright © 2005 IEEE. Reprinted from IEEE International Conference on Image Processing, 2005 (ICIP 2005).

This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org.

By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Keywords

component
multi-view
disparity compensation
inband prediction
ODWT
scalability

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10.1109/ICIP.2005.1530321

Anantrasitichai IEEE ICIP 2005Accepted author manuscript, 195 KB

http://hdl.handle.net/1983/1336

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title = "Multi-view image coding with wavelet lifting and in-band disparity compensation",

abstract = "This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability. The essential key for achieving the spatial scalability is the in-band prediction. It removes correlations among subbands level-by-level via shift-invariant references obtained by overcomplete discrete wavelet transforms (ODWT). Additionally, the proposed disparity compensated view filtering is allowed to exploit the different filters and estimation parameters for each resolution level. The experiments show comparable results at full resolution and the significant improvement at coarser resolution over the conventional spatial prediction scheme.",

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author = "N Anantrasirichai and CN Canagarajah and DR Bull",

note = "Rose publication type: Conference contribution Terms of use: Copyright {\textcopyright} 2005 IEEE. Reprinted from IEEE International Conference on Image Processing, 2005 (ICIP 2005). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. ; International Conference on Image Processing (2005) ; Conference date: 01-09-2005",

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Anantrasirichai, N, Canagarajah, CN & Bull, DR 2005, Multi-view image coding with wavelet lifting and in-band disparity compensation. in IEEE International Conference on Image Processing 2005 (ICIP 2005) Genova, Italy. vol. III, Institute of Electrical and Electronics Engineers (IEEE), pp. 33 - 36, International Conference on Image Processing (2005), Genoa, 1/09/05. https://doi.org/10.1109/ICIP.2005.1530321

Multi-view image coding with wavelet lifting and in-band disparity compensation. / Anantrasirichai, N; Canagarajah, CN; Bull, DR.
IEEE International Conference on Image Processing 2005 (ICIP 2005) Genova, Italy. Vol. III Institute of Electrical and Electronics Engineers (IEEE), 2005. p. 33 - 36.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

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N1 - Rose publication type: Conference contribution Terms of use: Copyright © 2005 IEEE. Reprinted from IEEE International Conference on Image Processing, 2005 (ICIP 2005). This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

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N2 - This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability. The essential key for achieving the spatial scalability is the in-band prediction. It removes correlations among subbands level-by-level via shift-invariant references obtained by overcomplete discrete wavelet transforms (ODWT). Additionally, the proposed disparity compensated view filtering is allowed to exploit the different filters and estimation parameters for each resolution level. The experiments show comparable results at full resolution and the significant improvement at coarser resolution over the conventional spatial prediction scheme.

AB - This paper presents a novel framework to achieve scalable multi-view image coding. As open loop operation, the wavelet lifting scheme for geometric filtering has been exploited to overcome the limitation of SNR scalability and to attain view scalability. The essential key for achieving the spatial scalability is the in-band prediction. It removes correlations among subbands level-by-level via shift-invariant references obtained by overcomplete discrete wavelet transforms (ODWT). Additionally, the proposed disparity compensated view filtering is allowed to exploit the different filters and estimation parameters for each resolution level. The experiments show comparable results at full resolution and the significant improvement at coarser resolution over the conventional spatial prediction scheme.

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KW - disparity compensation

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Y2 - 1 September 2005

ER -

Multi-view image coding with wavelet lifting and in-band disparity compensation

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