Compressing stereo images in discrete fourier transform domain

Chee Sun Won; Shahram Shirani

doi:10.1117/12.2005618

Compressing stereo images in discrete fourier transform domain

Chee Sun Won, Shahram Shirani

Department of Electronics & Electrical Engineering

McMaster University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Frequency features of stereo images are investigated in the DFT (Discrete Fourier Transform) domain by characterizing phase and magnitude properties originated from the horizontal disparities in the stereo images. Also, the well-known DFT properties including the conjugate symmetry property are utilized to identify essential frequency components of stereo images. Our investigation reveals that the DFT of the stereo images has useful properties that can prioritize the DFT coefficients for compact representations and compressions.

Original language	English
Title of host publication	Proceedings of SPIE-IS and T Electronic Imaging - Stereoscopic Displays and Applications XXIV
DOIs	https://doi.org/10.1117/12.2005618
State	Published - 2013
Event	24th IS and T/SPIE Stereoscopic Displays and Applications Conference, SD and A 2013 - Burlingame, CA, United States Duration: 4 Feb 2013 → 6 Feb 2013

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	8648
ISSN (Print)	0277-786X

Conference

Conference	24th IS and T/SPIE Stereoscopic Displays and Applications Conference, SD and A 2013
Country/Territory	United States
City	Burlingame, CA
Period	4/02/13 → 6/02/13

Keywords

Discrete Fourier Transform (DFT)
Horizontal disparity
Parallax
Stereo images

Access to Document

10.1117/12.2005618

Cite this

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title = "Compressing stereo images in discrete fourier transform domain",

abstract = "Frequency features of stereo images are investigated in the DFT (Discrete Fourier Transform) domain by characterizing phase and magnitude properties originated from the horizontal disparities in the stereo images. Also, the well-known DFT properties including the conjugate symmetry property are utilized to identify essential frequency components of stereo images. Our investigation reveals that the DFT of the stereo images has useful properties that can prioritize the DFT coefficients for compact representations and compressions.",

keywords = "Discrete Fourier Transform (DFT), Horizontal disparity, Parallax, Stereo images",

author = "Won, {Chee Sun} and Shahram Shirani",

year = "2013",

doi = "10.1117/12.2005618",

language = "English",

isbn = "9780819494214",

series = "Proceedings of SPIE - The International Society for Optical Engineering",

booktitle = "Proceedings of SPIE-IS and T Electronic Imaging - Stereoscopic Displays and Applications XXIV",

note = "24th IS and T/SPIE Stereoscopic Displays and Applications Conference, SD and A 2013 ; Conference date: 04-02-2013 Through 06-02-2013",

}

Won, CS & Shirani, S 2013, Compressing stereo images in discrete fourier transform domain. in Proceedings of SPIE-IS and T Electronic Imaging - Stereoscopic Displays and Applications XXIV., 864821, Proceedings of SPIE - The International Society for Optical Engineering, vol. 8648, 24th IS and T/SPIE Stereoscopic Displays and Applications Conference, SD and A 2013, Burlingame, CA, United States, 4/02/13. https://doi.org/10.1117/12.2005618

Compressing stereo images in discrete fourier transform domain. / Won, Chee Sun; Shirani, Shahram.
Proceedings of SPIE-IS and T Electronic Imaging - Stereoscopic Displays and Applications XXIV. 2013. 864821 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 8648).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Shirani, Shahram

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N2 - Frequency features of stereo images are investigated in the DFT (Discrete Fourier Transform) domain by characterizing phase and magnitude properties originated from the horizontal disparities in the stereo images. Also, the well-known DFT properties including the conjugate symmetry property are utilized to identify essential frequency components of stereo images. Our investigation reveals that the DFT of the stereo images has useful properties that can prioritize the DFT coefficients for compact representations and compressions.

AB - Frequency features of stereo images are investigated in the DFT (Discrete Fourier Transform) domain by characterizing phase and magnitude properties originated from the horizontal disparities in the stereo images. Also, the well-known DFT properties including the conjugate symmetry property are utilized to identify essential frequency components of stereo images. Our investigation reveals that the DFT of the stereo images has useful properties that can prioritize the DFT coefficients for compact representations and compressions.

KW - Discrete Fourier Transform (DFT)

KW - Horizontal disparity

KW - Parallax

KW - Stereo images

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T3 - Proceedings of SPIE - The International Society for Optical Engineering

BT - Proceedings of SPIE-IS and T Electronic Imaging - Stereoscopic Displays and Applications XXIV

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Y2 - 4 February 2013 through 6 February 2013

ER -

Compressing stereo images in discrete fourier transform domain

Abstract

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Keywords

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