Locally Adaptive Dct Filtering for Signal-Dependent Noise Removal

dc.authorid , Karen/0000-0002-8135-1085
dc.authorid Ponomarenko, Nikolay/0000-0001-9611-7542
dc.authorid Lukin, Vladimir/0000-0002-1443-9685
dc.authorscopusid 15835001000
dc.authorscopusid 7004998247
dc.authorscopusid 58857147400
dc.authorscopusid 7005723502
dc.authorscopusid 56632198800
dc.authorwosid Eguiazarian, Karen/G-4299-2014
dc.authorwosid Egiazarian, Karen Onikovich/D-9466-2014
dc.authorwosid Lukin, Vladimir/A-8219-2014
dc.contributor.author Oktem, Rusen
dc.contributor.author Egiazarian, Karen
dc.contributor.author Lukin, Vladimir V.
dc.contributor.author Ponomarenko, Nikolay N.
dc.contributor.author Tsymbal, Oleg V.
dc.date.accessioned 2024-07-05T14:33:26Z
dc.date.available 2024-07-05T14:33:26Z
dc.date.issued 2007
dc.department Atılım University en_US
dc.department-temp Atilim Univ, Dept Elect & Elect Engn, TR-06836 Ankara, Turkey; Tampere Univ Technol, Inst Signal Proc, FIN-33101 Tampere, Finland; Natl Aerosp Univ, Dept Receivers Transmitters & Signal Proc, UA-61070 Kharkov, Ukraine; Kalmykov Ctr Radiophys Sensing Earth, UA-61085 Kharkov, Ukraine en_US
dc.description , Karen/0000-0002-8135-1085; Ponomarenko, Nikolay/0000-0001-9611-7542; Lukin, Vladimir/0000-0002-1443-9685 en_US
dc.description.abstract This work addresses the problem of signal- dependent noise removal in images. An adaptive nonlinear filtering approach in the orthogonal transform domain is proposed and analyzed for several typical noise environments in the DCT domain. Being applied locally, that is, within a window of small support, DCT is expected to approximate the Karhunen- Loeve decorrelating transform, which enables effective suppression of noise components. The detail preservation ability of the filter allowing not to destroy any useful content in images is especially emphasized and considered. A local adaptive DCT filtering for the two cases, when signal-dependent noise can be and cannot be mapped into additive uncorrelated noise with homomorphic transform, is formulated. Although the main issue is signal-dependent and pure multiplicative noise, the proposed filtering approach is also found to be competing with the state-of-the-art methods on pure additive noise corrupted images. en_US
dc.identifier.citationcount 39
dc.identifier.doi 10.1155/2007/42472
dc.identifier.issn 1687-6180
dc.identifier.scopus 2-s2.0-34547151179
dc.identifier.uri https://doi.org/10.1155/2007/42472
dc.identifier.uri https://hdl.handle.net/20.500.14411/932
dc.identifier.wos WOS:000248441000001
dc.identifier.wosquality Q3
dc.language.iso en en_US
dc.publisher Springer en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.scopus.citedbyCount 66
dc.subject [No Keyword Available] en_US
dc.title Locally Adaptive Dct Filtering for Signal-Dependent Noise Removal en_US
dc.type Article en_US
dc.wos.citedbyCount 40
dspace.entity.type Publication

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