Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform
Numerical Analysis
2019-10-09 v1 Computer Vision and Pattern Recognition
Numerical Analysis
Abstract
Broadband hyperspectral digital holography and Fourier transform spectroscopy are important instruments in various science and application fields. In the digital hyperspectral holography and spectroscopy the variable of interest are obtained as inverse discrete cosine transforms of observed diffractive intensity patterns. In these notes, we provide a variety of algorithms for the inverse cosine transform with the proofs of perfect spectrum reconstruction, as well as we discuss and illustrate some nontrivial features of these algorithms.
Keywords
Cite
@article{arxiv.1910.03013,
title = {Hyperspectral holography and spectroscopy: computational features of inverse discrete cosine transform},
author = {Vladimir Katkovnik and Igor Shevkunov and Karen Egiazarian},
journal= {arXiv preprint arXiv:1910.03013},
year = {2019}
}
Comments
20 pages, 9 figures