Image noise filter based on DCT and fast clustering

Miguel de Jesús Martínez Felipe, Edgardo M. Felipe Riveron, Pablo Manrique Ramirez, Oleksiy Pogrebnyak

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

© Springer International Publishing AG 2017. An algorithm for filtering images contaminated by additive white Gaussian noise in discrete cosine transform domain is proposed. The algorithm uses a clustering stage to obtain mean power spectrum of each cluster. The groups of clusters are found by the proposed fast algorithm based on 2D histograms and watershed transform. In addition to the mean spectrum of each cluster, the local groups of similar patches are found to obtain the local spectrum, and therefore, derive the local Wiener filter frequency response better and perform the collaborative filtering over the groups of patches. The obtained filtering results are compared to the state-of-the-art filters in terms of peak signal-to-noise ratio and structural similarity index. It is shown that the proposed algorithm is competitive in terms of signal-to-noise ratio and in almost all cases is superior to the state-of-the art filters in terms of structural similarity.
Original languageAmerican English
Title of host publicationImage noise filter based on DCT and fast clustering
Pages149-158
Number of pages133
ISBN (Electronic)9783319592251
DOIs
StatePublished - 1 Jan 2017
EventLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) -
Duration: 1 Jan 2018 → …

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10267 LNCS
ISSN (Print)0302-9743

Conference

ConferenceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Period1/01/18 → …

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Cite this

de Jesús Martínez Felipe, M., Felipe Riveron, E. M., Ramirez, P. M., & Pogrebnyak, O. (2017). Image noise filter based on DCT and fast clustering. In Image noise filter based on DCT and fast clustering (pp. 149-158). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10267 LNCS). https://doi.org/10.1007/978-3-319-59226-8_15