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- Title
HEALPIX DCT technique for compressing PCA-based illumination adjustable images.
- Authors
Sum, John; Leung, Chi-Sing; Cheung, Ray; Ho, Tze-Yiu
- Abstract
An illumination adjustable image (IAI), containing a set of pre-captured reference images under various light directions, represents the appearance of a scene with adjustable illumination. One of drawbacks of using the IAI representation is that an IAI consumes a lot of memory. Although some previous works proposed to use blockwise principal component analysis for compressing IAIs, they did not consider the spherical nature of the extracted eigen-coefficients. This paper utilizes the spherical nature of the extracted eigen-coefficients to improve the compression efficiency. Our compression scheme consists of two levels. In the first level, the reference images are converted into a few eigen-images (floating point images) and a number of eigen-coefficients. In the second level, the eigen-images are compressed by a wavelet-based method. The eigen-coefficients are organized into a number of spherical functions. Those spherical coefficients are then compressed by the proposed HEALPIX discrete cosine transform technique.
- Subjects
PRINCIPAL components analysis; FEATURE extraction; WAVELETS (Mathematics); DISCRETE cosine transforms; RENDERING algorithms; SPHERICAL functions
- Publication
Neural Computing & Applications, 2013, Vol 22, Issue 7/8, p1291
- ISSN
0941-0643
- Publication type
Article
- DOI
10.1007/s00521-012-1003-5