Compression of illumination-adjustable images

The image-based modeling and rendering (IBMR) approaches allow the time complexity of synthesizing novel images to be independent of scene complexity. Unfortunately, illumination control (relighting) is no longer trivial under the image-based framework. To relight the image-based scenery, the scene...

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Bibliographic Details
Published in:IEEE transactions on circuits and systems for video technology Vol. 13; no. 11; pp. 1107 - 1118
Main Authors: Wong, Tien-Tsin, Leung, Chi-Sing
Format: Journal Article
Language:English
Published: New York IEEE 01.11.2003
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Application software
Complexity
Compressing
Compression algorithms
Data compression
Illumination
Image coding
Image representation
Layout
Lighting control
Mathematical models
Rendering
Rendering (computer graphics)
Transform coding
Virtual reality
Wavelet transforms
ISSN:1051-8215, 1558-2205
Online Access:Get full text
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Summary:The image-based modeling and rendering (IBMR) approaches allow the time complexity of synthesizing novel images to be independent of scene complexity. Unfortunately, illumination control (relighting) is no longer trivial under the image-based framework. To relight the image-based scenery, the scene must be captured under various illumination conditions. This drastically increases the data volume. Hence, data compression is a must. In this paper, we describe a compression algorithm for an illumination-adjustable image representation. We focus on compressing constant-viewpoint images. A divide-and-conquer approach is proposed. The compression algorithm consists of three parts which exploit the intrapixel, interpixel, and interchannel data correlations. Experimental result shows that the proposed method not just effectively compresses the data but also outperforms standard image and video coding methods.
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ISSN:1051-8215
1558-2205
DOI:10.1109/TCSVT.2003.817628