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An RBF-based compression method for image-based relighting

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4 Author(s)
Chi-Sing Leung ; Dept. of Electron. Eng., City Univ. of Hong Kong, China ; Tien-Tsin Wong ; Ping-Man Lam ; Kwok-Hung Choy

In image-based relighting, a pixel is associated with a number of sampled radiance values. This paper presents a two-level compression method. In the first level, the plenoptic property of a pixel is approximated by a spherical radial basis function (SRBF) network. That means that the spherical plenoptic function of each pixel is represented by a number of SRBF weights. In the second level, we apply a wavelet-based method to compress these SRBF weights. To reduce the visual artifact due to quantization noise, we develop a constrained method for estimating the SRBF weights. Our proposed approach is superior to JPEG, JPEG2000, and MPEG. Compared with the spherical harmonics approach, our approach has a lower complexity, while the visual quality is comparable. The real-time rendering method for our SRBF representation is also discussed.

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Image Processing, IEEE Transactions on  (Volume:15 ,  Issue: 4 )