Compressing the illumination-adjustable images with principal component analysis

The ability to change illumination is a crucial factor in image-based modeling and rendering. Image-based relighting offers such capability. However, the tradeoff is the enormous increase of storage requirement. In this paper, we propose a compression scheme that effectively reduces the data volume...

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Veröffentlicht in:	IEEE transactions on circuits and systems for video technology Jg. 15; H. 3; S. 355 - 364
Hauptverfasser:	HO, Pun-Mo, WONG, Tien-Tsin, LEUNG, Chi-Sing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.03.2005 Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Applied sciences Artificial intelligence Bit rate Compressed Compressing Computer science Computer science; control theory; systems Data compression Exact sciences and technology Image coding Image processing image-based modeling and rendering image-based relighting Information, signal and communications theory Layout Lighting Mathematical models Navigation Pattern recognition. Digital image processing. Computational geometry plenoptic illumination function Principal component analysis Principal components analysis Quantization Real time Rendering Rendering (computer graphics) Signal processing Studies Telecommunications and information theory Transform coding Image processing Data compression plenoptic illumination function Illumination Image rendering Image compression Modeling image-based modeling and rendering Divide and conquer method image-based relighting Principal component analysis
ISSN:	1051-8215, 1558-2205
Online-Zugang:	Volltext
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