An RBF-based compression method for image-based relighting

Author

Leung, Chi-Sing ; Wong, Tien-Tsin ; Lam, Ping-Man ; Choy, Kwok-Hung

Author_Institution

Dept. of Electron. Eng., City Univ. of Hong Kong, China

Volume

15

Issue

4

fYear

2006

fDate

4/1/2006 12:00:00 AM

Firstpage

1031

Lastpage

1041

Abstract

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.

Keywords

data compression; image coding; least squares approximations; radial basis function networks; JPEG2000; MPEG; image-based relighting; least-square method; quantization noise; real-time rendering method; spherical harmonics approach; spherical plenoptic function; spherical radial basis function; two-level compression method; Image coding; Layout; Light sources; Lighting; Noise reduction; Pixel; Quantization; Rendering (computer graphics); Transform coding; Video compression; Constrained least-square fitting; image-based relighting (IBR); plenoptic illumination function (PIF); spherical radial basis function (SRBF); wavelet transform; Algorithms; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Lighting; Photometry; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2005.863936

Filename

1608149