Matches in SemOpenAlex for { <https://semopenalex.org/work/W3091981156> ?p ?o ?g. }
- W3091981156 endingPage "3372" @default.
- W3091981156 startingPage "3366" @default.
- W3091981156 abstract "The authors present a proximal approach to hyperspectral image denoising adapted to the mixed noise behaviour of hyperspectral data; named hyperspectral image proximal denoiser (HSIProxDenoiser). A combination of Gaussian-impulse noise has been handled under maximum a posteriori framework using two data fidelity terms. They have incorporated prior information about the data in the form of two regularisation terms, namely Tikhonov–Miller (TM) and total variation (TV). Since TV possesses feature selection capability by setting some of the coefficients to zero, it works well when there are a small number of significant features. On the other hand, TM works well if there are a large number of similar features. Hence, including both regularisation terms can help achieve the desired denoising performance. The resultant optimisation problem is solved using a variant of primal-dual hybrid gradient by splitting the former into different functions and calculating their proximal operators individually. Experimental results over both synthetic as well as real hyperspectral image data validate the potential of the proposed technique both visually and in terms of quantitative metrics." @default.
- W3091981156 created "2020-10-15" @default.
- W3091981156 creator A5002377642 @default.
- W3091981156 creator A5012329610 @default.
- W3091981156 creator A5076369014 @default.
- W3091981156 date "2020-10-08" @default.
- W3091981156 modified "2023-10-05" @default.
- W3091981156 title "Proximal approach to denoising hyperspectral images under mixed‐noise model" @default.
- W3091981156 cites W1944540851 @default.
- W3091981156 cites W1969352102 @default.
- W3091981156 cites W1988386267 @default.
- W3091981156 cites W1991003630 @default.
- W3091981156 cites W1993499237 @default.
- W3091981156 cites W1994040806 @default.
- W3091981156 cites W1998093007 @default.
- W3091981156 cites W1998991750 @default.
- W3091981156 cites W1998999283 @default.
- W3091981156 cites W2036359163 @default.
- W3091981156 cites W2053514113 @default.
- W3091981156 cites W2058300393 @default.
- W3091981156 cites W2085692415 @default.
- W3091981156 cites W2120806927 @default.
- W3091981156 cites W2121338139 @default.
- W3091981156 cites W2129891925 @default.
- W3091981156 cites W2133665775 @default.
- W3091981156 cites W2148717137 @default.
- W3091981156 cites W2160484748 @default.
- W3091981156 cites W2397171048 @default.
- W3091981156 cites W2397873863 @default.
- W3091981156 cites W2533971697 @default.
- W3091981156 cites W2593128366 @default.
- W3091981156 cites W2738203146 @default.
- W3091981156 cites W2763081248 @default.
- W3091981156 cites W2773415061 @default.
- W3091981156 cites W2790888198 @default.
- W3091981156 cites W2793272303 @default.
- W3091981156 cites W2806155925 @default.
- W3091981156 cites W2941677189 @default.
- W3091981156 cites W2944388294 @default.
- W3091981156 cites W2963505747 @default.
- W3091981156 cites W2964179170 @default.
- W3091981156 cites W3007139997 @default.
- W3091981156 cites W4244393449 @default.
- W3091981156 doi "https://doi.org/10.1049/iet-ipr.2019.1763" @default.
- W3091981156 hasPublicationYear "2020" @default.
- W3091981156 type Work @default.
- W3091981156 sameAs 3091981156 @default.
- W3091981156 citedByCount "7" @default.
- W3091981156 countsByYear W30919811562021 @default.
- W3091981156 countsByYear W30919811562022 @default.
- W3091981156 countsByYear W30919811562023 @default.
- W3091981156 crossrefType "journal-article" @default.
- W3091981156 hasAuthorship W3091981156A5002377642 @default.
- W3091981156 hasAuthorship W3091981156A5012329610 @default.
- W3091981156 hasAuthorship W3091981156A5076369014 @default.
- W3091981156 hasBestOaLocation W30919811561 @default.
- W3091981156 hasConcept C105795698 @default.
- W3091981156 hasConcept C11413529 @default.
- W3091981156 hasConcept C115961682 @default.
- W3091981156 hasConcept C127372701 @default.
- W3091981156 hasConcept C134306372 @default.
- W3091981156 hasConcept C135252773 @default.
- W3091981156 hasConcept C152442038 @default.
- W3091981156 hasConcept C153180895 @default.
- W3091981156 hasConcept C154945302 @default.
- W3091981156 hasConcept C159078339 @default.
- W3091981156 hasConcept C160633673 @default.
- W3091981156 hasConcept C163294075 @default.
- W3091981156 hasConcept C207282899 @default.
- W3091981156 hasConcept C33923547 @default.
- W3091981156 hasConcept C41008148 @default.
- W3091981156 hasConcept C4199805 @default.
- W3091981156 hasConcept C49781872 @default.
- W3091981156 hasConcept C9810830 @default.
- W3091981156 hasConcept C99498987 @default.
- W3091981156 hasConceptScore W3091981156C105795698 @default.
- W3091981156 hasConceptScore W3091981156C11413529 @default.
- W3091981156 hasConceptScore W3091981156C115961682 @default.
- W3091981156 hasConceptScore W3091981156C127372701 @default.
- W3091981156 hasConceptScore W3091981156C134306372 @default.
- W3091981156 hasConceptScore W3091981156C135252773 @default.
- W3091981156 hasConceptScore W3091981156C152442038 @default.
- W3091981156 hasConceptScore W3091981156C153180895 @default.
- W3091981156 hasConceptScore W3091981156C154945302 @default.
- W3091981156 hasConceptScore W3091981156C159078339 @default.
- W3091981156 hasConceptScore W3091981156C160633673 @default.
- W3091981156 hasConceptScore W3091981156C163294075 @default.
- W3091981156 hasConceptScore W3091981156C207282899 @default.
- W3091981156 hasConceptScore W3091981156C33923547 @default.
- W3091981156 hasConceptScore W3091981156C41008148 @default.
- W3091981156 hasConceptScore W3091981156C4199805 @default.
- W3091981156 hasConceptScore W3091981156C49781872 @default.
- W3091981156 hasConceptScore W3091981156C9810830 @default.
- W3091981156 hasConceptScore W3091981156C99498987 @default.
- W3091981156 hasFunder F4320334771 @default.
- W3091981156 hasIssue "14" @default.
- W3091981156 hasLocation W30919811561 @default.
- W3091981156 hasOpenAccess W3091981156 @default.