Disparity compensated view filtering wavelet based multiview image code using Lagrangian optimization

Akbar Sheikh Akbari; CN Canagarajah; DW Redmill; David Bull

doi:10.1109/3DTV.2008.4547870

Disparity compensated view filtering wavelet based multiview image code using Lagrangian optimization

Akbar Sheikh Akbari, CN Canagarajah, DW Redmill, David Bull

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Abstract

This paper presents a disparity compensated view filtering wavelet based multiview image coding scheme. The proposed codec decorrelates the input views into their frequency subbands using a disparity compensated lifting based wavelet transform. The codec then applies a 2D wavelet transform on baseband-image transforming it into a number of subbands. The general form of the Lagrangian rate distortion optimization algorithm is then modified and used along with the steepest descent algorithm to assign bits among the different subbands in such a way that it minimizes the PSNR variance of the decoded images. Two sets of experimental results are generated using three sets of multiview test images. In the first set of experiments the effect of using a weighted lambda for high frequency images on the PSNR variance of the decoded images is investigated. In the second set of experiments, performance of the proposed codec in reducing the variance of the PSNR of the decoded images is investigated. Results indicate that the proposed codec gives lower PSNR variance among the decoded images compared to the basic form of the codec at all bitrates

Original language	English
Pages	309 - 312
DOIs	https://doi.org/10.1109/3DTV.2008.4547870
Publication status	Published - May 2008

Bibliographical note

Sponsorship: The work on this granted was supported by EPSRC under grant number GR/T11883/01

Terms of use: Copyright © 2008 IEEE. Reprinted from 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008.

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 [email protected].

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

Name of Conference: 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video
Venue of Conference: Istanbul, Turkey

Keywords

stereo vision
mulitdimensional coding
image codecs

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Akbari IEEE 3DTV 2008Accepted author manuscript, 399 KB

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title = "Disparity compensated view filtering wavelet based multiview image code using Lagrangian optimization",

abstract = "This paper presents a disparity compensated view filtering wavelet based multiview image coding scheme. The proposed codec decorrelates the input views into their frequency subbands using a disparity compensated lifting based wavelet transform. The codec then applies a 2D wavelet transform on baseband-image transforming it into a number of subbands. The general form of the Lagrangian rate distortion optimization algorithm is then modified and used along with the steepest descent algorithm to assign bits among the different subbands in such a way that it minimizes the PSNR variance of the decoded images. Two sets of experimental results are generated using three sets of multiview test images. In the first set of experiments the effect of using a weighted lambda for high frequency images on the PSNR variance of the decoded images is investigated. In the second set of experiments, performance of the proposed codec in reducing the variance of the PSNR of the decoded images is investigated. Results indicate that the proposed codec gives lower PSNR variance among the decoded images compared to the basic form of the codec at all bitrates",

keywords = "stereo vision, mulitdimensional coding, image codecs",

author = "{Sheikh Akbari}, Akbar and CN Canagarajah and DW Redmill and David Bull",

note = "Sponsorship: The work on this granted was supported by EPSRC under grant number GR/T11883/01 Terms of use: Copyright {\textcopyright} 2008 IEEE. Reprinted from 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008. 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. Name of Conference: 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video Venue of Conference: Istanbul, Turkey",

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AU - Sheikh Akbari, Akbar

AU - Canagarajah, CN

AU - Redmill, DW

AU - Bull, David

N1 - Sponsorship: The work on this granted was supported by EPSRC under grant number GR/T11883/01 Terms of use: Copyright © 2008 IEEE. Reprinted from 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, 2008. 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 [email protected]. By choosing to view this document, you agree to all provisions of the copyright laws protecting it. Name of Conference: 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video Venue of Conference: Istanbul, Turkey

PY - 2008/5

Y1 - 2008/5

N2 - This paper presents a disparity compensated view filtering wavelet based multiview image coding scheme. The proposed codec decorrelates the input views into their frequency subbands using a disparity compensated lifting based wavelet transform. The codec then applies a 2D wavelet transform on baseband-image transforming it into a number of subbands. The general form of the Lagrangian rate distortion optimization algorithm is then modified and used along with the steepest descent algorithm to assign bits among the different subbands in such a way that it minimizes the PSNR variance of the decoded images. Two sets of experimental results are generated using three sets of multiview test images. In the first set of experiments the effect of using a weighted lambda for high frequency images on the PSNR variance of the decoded images is investigated. In the second set of experiments, performance of the proposed codec in reducing the variance of the PSNR of the decoded images is investigated. Results indicate that the proposed codec gives lower PSNR variance among the decoded images compared to the basic form of the codec at all bitrates

AB - This paper presents a disparity compensated view filtering wavelet based multiview image coding scheme. The proposed codec decorrelates the input views into their frequency subbands using a disparity compensated lifting based wavelet transform. The codec then applies a 2D wavelet transform on baseband-image transforming it into a number of subbands. The general form of the Lagrangian rate distortion optimization algorithm is then modified and used along with the steepest descent algorithm to assign bits among the different subbands in such a way that it minimizes the PSNR variance of the decoded images. Two sets of experimental results are generated using three sets of multiview test images. In the first set of experiments the effect of using a weighted lambda for high frequency images on the PSNR variance of the decoded images is investigated. In the second set of experiments, performance of the proposed codec in reducing the variance of the PSNR of the decoded images is investigated. Results indicate that the proposed codec gives lower PSNR variance among the decoded images compared to the basic form of the codec at all bitrates

KW - stereo vision

KW - mulitdimensional coding

KW - image codecs

U2 - 10.1109/3DTV.2008.4547870

DO - 10.1109/3DTV.2008.4547870

M3 - Conference Abstract

SP - 309

EP - 312

ER -

Disparity compensated view filtering wavelet based multiview image code using Lagrangian optimization

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