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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Vydané v:	IEEE transactions on circuits and systems for video technology Ročník 13; číslo 11; s. 1107 - 1118
Hlavní autori:	Wong, Tien-Tsin, Leung, Chi-Sing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.11.2003 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
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Abstract	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.
AbstractList	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.
Author	Tien-Tsin Wong Chi-Sing Leung
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Title	Compression of illumination-adjustable images
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