Data compression for a massive image data set in IBMR

Chi Sing Leung; Ping Man Lam; Tien-Tsin Wong

doi:10.1109/CGI.2003.1214449

Data compression for a massive image data set in IBMR

Chi Sing Leung, Ping Man Lam, Tien-Tsin Wong

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

Abstract

In the area of image-based modeling and rendering (IBMR), a new scene under a novel illumination condition is synthesized by interpolating reference images. However, for good quality rendering tremendous reference images under various illumination conditions are required. We present a two-level compression method for reference images. In the first level, the spherical harmonic transform is used to approximate the plenoptic function of each pixel In the second level, we use the embedded zerotrees wavelet (EZW) method for removing the spatial redundancy in spherical coefficients produced from the first level process. Simulation results show our approach is much superior than compressing reference images with JPEG.

Original language	English
Title of host publication	Proceedings - Computer Graphics International, CGI 2003
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	68-73
Number of pages	6
ISBN (Electronic)	0769519466
DOIs	https://doi.org/10.1109/CGI.2003.1214449
Publication status	Published - 2003
Externally published	Yes
Event	Computer Graphics International 2003 - Tokyo, Japan Duration: 9 Jul 2003 → 11 Jul 2003 https://ieeexplore.ieee.org/xpl/conhome/8613/proceeding (Proceedings)

Conference

Conference	Computer Graphics International 2003
Abbreviated title	CGI 2003
Country/Territory	Japan
City	Tokyo
Period	9/07/03 → 11/07/03
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8613/proceeding (Proceedings)

Keywords

Computational modeling
Computer graphics
Computer science
Computer simulation
Data compression
Image coding
Layout
Light sources
Lighting
Rendering (computer graphics)

Access to Document

10.1109/CGI.2003.1214449

Cite this

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title = "Data compression for a massive image data set in IBMR",

abstract = "In the area of image-based modeling and rendering (IBMR), a new scene under a novel illumination condition is synthesized by interpolating reference images. However, for good quality rendering tremendous reference images under various illumination conditions are required. We present a two-level compression method for reference images. In the first level, the spherical harmonic transform is used to approximate the plenoptic function of each pixel In the second level, we use the embedded zerotrees wavelet (EZW) method for removing the spatial redundancy in spherical coefficients produced from the first level process. Simulation results show our approach is much superior than compressing reference images with JPEG.",

keywords = "Computational modeling, Computer graphics, Computer science, Computer simulation, Data compression, Image coding, Layout, Light sources, Lighting, Rendering (computer graphics)",

author = "Leung, \{Chi Sing\} and Lam, \{Ping Man\} and Tien-Tsin Wong",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; Computer Graphics International 2003, CGI 2003 ; Conference date: 09-07-2003 Through 11-07-2003",

year = "2003",

doi = "10.1109/CGI.2003.1214449",

language = "English",

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AU - Lam, Ping Man

AU - Wong, Tien-Tsin

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AB - In the area of image-based modeling and rendering (IBMR), a new scene under a novel illumination condition is synthesized by interpolating reference images. However, for good quality rendering tremendous reference images under various illumination conditions are required. We present a two-level compression method for reference images. In the first level, the spherical harmonic transform is used to approximate the plenoptic function of each pixel In the second level, we use the embedded zerotrees wavelet (EZW) method for removing the spatial redundancy in spherical coefficients produced from the first level process. Simulation results show our approach is much superior than compressing reference images with JPEG.

KW - Computational modeling

KW - Computer graphics

KW - Computer science

KW - Computer simulation

KW - Data compression

KW - Image coding

KW - Layout

KW - Light sources

KW - Lighting

KW - Rendering (computer graphics)

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M3 - Conference Paper

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BT - Proceedings - Computer Graphics International, CGI 2003

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - Computer Graphics International 2003

Y2 - 9 July 2003 through 11 July 2003

ER -

Data compression for a massive image data set in IBMR

Abstract

Conference

Keywords

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Cite this