Matches in SemOpenAlex for { <https://semopenalex.org/work/W2290596958> ?p ?o ?g. }
Showing items 1 to 98 of
98
with 100 items per page.
- W2290596958 endingPage "347" @default.
- W2290596958 startingPage "339" @default.
- W2290596958 abstract "Noise reduction or denoising is required for visual improvement or as a preprocessing step for subsequent processing tasks, such as image compression and analysis. Therefore, denoising has become a highly desirable and essential process in multimedia applications. The aim of all denoising processes, especially in natural images, is to uncover the true image from the observed noisy image, ideally removing the additive white Gaussian noise (AWGN) while producing a sharp, useful image without losing finer details. Generally, most of the noise obtained during acquisition and transmission of the natural images is assumed to be AWGN. In this study, we propose a new adaptive denoising framework based on second‐generation wavelet domain using hidden Markov models (SGWD‐HMMs) with some new local structure, utilizing the fact that the images are nonstationary with singularities and some smooth areas that can be considered as stationary. The dependencies among wavelet coefficients can be efficiently captured by HMMs since the dependence between two wavelet coefficients dies down quickly as their distance becomes big. Quite remarkably, experimental results verify the effectiveness of SGWD‐HMMs in benchmark images when compared with other state‐of‐the‐art denoising algorithms. It gives competitive results in the subjective and objective assessments, but it is computationally more expensive. © 2016 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc." @default.
- W2290596958 created "2016-06-24" @default.
- W2290596958 creator A5026258736 @default.
- W2290596958 creator A5032597191 @default.
- W2290596958 creator A5047260709 @default.
- W2290596958 creator A5048232944 @default.
- W2290596958 date "2016-01-22" @default.
- W2290596958 modified "2023-10-01" @default.
- W2290596958 title "Additive noise reduction in natural images using second‐generation wavelet transform hidden Markov models" @default.
- W2290596958 cites W1999216673 @default.
- W2290596958 cites W2011181254 @default.
- W2290596958 cites W2013848746 @default.
- W2290596958 cites W2033400894 @default.
- W2290596958 cites W2041432922 @default.
- W2290596958 cites W2052531542 @default.
- W2290596958 cites W2053691921 @default.
- W2290596958 cites W2065391104 @default.
- W2290596958 cites W2079724595 @default.
- W2290596958 cites W2081020026 @default.
- W2290596958 cites W2095631289 @default.
- W2290596958 cites W2108597695 @default.
- W2290596958 cites W2109163233 @default.
- W2290596958 cites W2113945798 @default.
- W2290596958 cites W2123606372 @default.
- W2290596958 cites W2132984323 @default.
- W2290596958 cites W2133665775 @default.
- W2290596958 cites W2134929491 @default.
- W2290596958 cites W2158940042 @default.
- W2290596958 cites W2161325969 @default.
- W2290596958 cites W2161960792 @default.
- W2290596958 cites W2163612361 @default.
- W2290596958 cites W2165146335 @default.
- W2290596958 cites W2544831598 @default.
- W2290596958 doi "https://doi.org/10.1002/tee.22223" @default.
- W2290596958 hasPublicationYear "2016" @default.
- W2290596958 type Work @default.
- W2290596958 sameAs 2290596958 @default.
- W2290596958 citedByCount "25" @default.
- W2290596958 countsByYear W22905969582015 @default.
- W2290596958 countsByYear W22905969582016 @default.
- W2290596958 countsByYear W22905969582017 @default.
- W2290596958 countsByYear W22905969582018 @default.
- W2290596958 countsByYear W22905969582019 @default.
- W2290596958 countsByYear W22905969582021 @default.
- W2290596958 countsByYear W22905969582022 @default.
- W2290596958 countsByYear W22905969582023 @default.
- W2290596958 crossrefType "journal-article" @default.
- W2290596958 hasAuthorship W2290596958A5026258736 @default.
- W2290596958 hasAuthorship W2290596958A5032597191 @default.
- W2290596958 hasAuthorship W2290596958A5047260709 @default.
- W2290596958 hasAuthorship W2290596958A5048232944 @default.
- W2290596958 hasConcept C112633086 @default.
- W2290596958 hasConcept C11413529 @default.
- W2290596958 hasConcept C115961682 @default.
- W2290596958 hasConcept C153180895 @default.
- W2290596958 hasConcept C154945302 @default.
- W2290596958 hasConcept C163294075 @default.
- W2290596958 hasConcept C169334058 @default.
- W2290596958 hasConcept C196216189 @default.
- W2290596958 hasConcept C23224414 @default.
- W2290596958 hasConcept C41008148 @default.
- W2290596958 hasConcept C47432892 @default.
- W2290596958 hasConcept C76155785 @default.
- W2290596958 hasConcept C99498987 @default.
- W2290596958 hasConceptScore W2290596958C112633086 @default.
- W2290596958 hasConceptScore W2290596958C11413529 @default.
- W2290596958 hasConceptScore W2290596958C115961682 @default.
- W2290596958 hasConceptScore W2290596958C153180895 @default.
- W2290596958 hasConceptScore W2290596958C154945302 @default.
- W2290596958 hasConceptScore W2290596958C163294075 @default.
- W2290596958 hasConceptScore W2290596958C169334058 @default.
- W2290596958 hasConceptScore W2290596958C196216189 @default.
- W2290596958 hasConceptScore W2290596958C23224414 @default.
- W2290596958 hasConceptScore W2290596958C41008148 @default.
- W2290596958 hasConceptScore W2290596958C47432892 @default.
- W2290596958 hasConceptScore W2290596958C76155785 @default.
- W2290596958 hasConceptScore W2290596958C99498987 @default.
- W2290596958 hasIssue "3" @default.
- W2290596958 hasLocation W22905969581 @default.
- W2290596958 hasOpenAccess W2290596958 @default.
- W2290596958 hasPrimaryLocation W22905969581 @default.
- W2290596958 hasRelatedWork W1524205087 @default.
- W2290596958 hasRelatedWork W1527867818 @default.
- W2290596958 hasRelatedWork W1577789985 @default.
- W2290596958 hasRelatedWork W167794113 @default.
- W2290596958 hasRelatedWork W1982375519 @default.
- W2290596958 hasRelatedWork W2037328875 @default.
- W2290596958 hasRelatedWork W2119848548 @default.
- W2290596958 hasRelatedWork W2539985974 @default.
- W2290596958 hasRelatedWork W2541950815 @default.
- W2290596958 hasRelatedWork W2942471066 @default.
- W2290596958 hasVolume "11" @default.
- W2290596958 isParatext "false" @default.
- W2290596958 isRetracted "false" @default.
- W2290596958 magId "2290596958" @default.
- W2290596958 workType "article" @default.