Compressing the illumination-adjustable images with principal component analysis
Publication in refereed journal


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摘要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 while maintaining the real-time relighting capability. The proposed method is based on principal component analysis (PCA). A block-wise PCA is used to practically process the huge input data. The output of PCA is a set of eigenimages and the corresponding relighting coefficients. By dropping those low-energy eigenimages, the data size is drastically reduced. To further compress the data, eigenimages left are compressed using transform coding and quantization while the relighting coefficients are compressed using uniform quantization. We also suggest the suitable target bit rate for each phase of the compression method in order to preserve the visual quality. Finally, we propose a real-time engine that relights images from the compressed data.
著者Ho PM, Wong TT, Leung CS
期刊名稱IEEE Transactions on Circuits and Systems for Video Technology
出版年份2005
月份3
日期1
卷號15
期次3
出版社IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
頁次355 - 364
國際標準期刊號1051-8215
電子國際標準期刊號1558-2205
語言英式英語
關鍵詞data compression; image-based modeling and rendering; image-based relighting; plenoptic illumination function
Web of Science 學科類別Engineering; Engineering, Electrical & Electronic; ENGINEERING, ELECTRICAL & ELECTRONIC

上次更新時間 2021-10-05 於 02:34