RUS  ENG
Full version
JOURNALS // Computer Optics // Archive

Computer Optics, 2014 Volume 38, Issue 1, Pages 87–93 (Mi co316)

IMAGE PROCESSING, PATTERN RECOGNITION

Hierarchical grid interpolation for hyperspectral image compression

M. V. Gashnikov, N. I. Glumov

Image Processing Systems Institute of the Russian Academy of Sciences

Abstract: We consider the use of compression method based on hierarchical grid interpolation to compress the hyperspectral images. Approximation of the spectral channels is proposed to improve the efficiency of the method. Recommendations for setting the parameters of the method formulated. Numerical experiments compared to JPEG method implemented.

Keywords: hyperspectral images, compression, control of deviation, maximum deviation, hierarchical grid interpolation.

Received: 28.10.2013



© Steklov Math. Inst. of RAS, 2024