@inproceedings{03a64710ea564c24927ea50634639089,
title = "A spectral approach to total variation",
abstract = "The total variation (TV) functional is explored from a spectral perspective. We formulate a TV transform based on the second time derivative of the total variation flow, scaled by time. In the transformation domain disks yield impulse responses. This transformation can be viewed as a spectral domain, with somewhat similar intuition of classical Fourier analysis. A simple reconstruction formula from the TV spectral domain to the spatial domain is given. We can then design low-pass, high-pass and band-pass TV filters and obtain a TV spectrum of signals and images.",
keywords = "Scale Space, image analysis, total variation",
author = "Guy Gilboa",
year = "2013",
doi = "10.1007/978-3-642-38267-3_4",
language = "الإنجليزيّة",
isbn = "9783642382666",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "36--47",
booktitle = "Scale Space and Variational Methods in Computer Vision - 4th International Conference, SSVM 2013, Proceedings",
note = "4th International Conference on Scale Space and Variational Methods in Computer Vision, SSVM 2013 ; Conference date: 02-06-2013 Through 06-06-2013",
}