Matches in SemOpenAlex for { <https://semopenalex.org/work/W2912031978> ?p ?o ?g. }
- W2912031978 endingPage "163" @default.
- W2912031978 startingPage "163" @default.
- W2912031978 abstract "The blind additive white Gaussian noise level estimation is an important and a challenging area of digital image processing with numerous applications including image denoising and image segmentation. In this paper, a novel block-based noise level estimation algorithm is proposed. The algorithm relies on the artificial neural network to perform a complex image patch analysis in the singular value decomposition (SVD) domain and to evaluate noise level estimates. The algorithm exhibits the capacity to adjust the effective singular value tail length with respect to the observed noise levels. The results of comparative analysis show that the proposed ANN-based algorithm outperforms the alternative single stage block-based noise level estimating algorithm in the SVD domain in terms of mean square error (MSE) and average error for all considered choices of block size. The most significant improvements in MSE levels are obtained at low noise levels. For some test images, such as “Car” and “Girlface”, at σ = 1 , these improvements can be as high as 99% and 98.5%, respectively. In addition, the proposed algorithm eliminates the error-prone manual parameter fine-tuning and automates the entire noise level estimation process." @default.
- W2912031978 created "2019-02-21" @default.
- W2912031978 creator A5031047306 @default.
- W2912031978 creator A5060329788 @default.
- W2912031978 creator A5062321530 @default.
- W2912031978 date "2019-02-01" @default.
- W2912031978 modified "2023-09-27" @default.
- W2912031978 title "Application of Artificial Neural Network for Image Noise Level Estimation in the SVD domain" @default.
- W2912031978 cites W1973758555 @default.
- W2912031978 cites W1975438128 @default.
- W2912031978 cites W1991933054 @default.
- W2912031978 cites W1992328824 @default.
- W2912031978 cites W2001426560 @default.
- W2912031978 cites W2003733299 @default.
- W2912031978 cites W2012211539 @default.
- W2912031978 cites W2023005931 @default.
- W2912031978 cites W2055472139 @default.
- W2912031978 cites W2056370875 @default.
- W2912031978 cites W2058887147 @default.
- W2912031978 cites W2062515778 @default.
- W2912031978 cites W2076923157 @default.
- W2912031978 cites W2104564430 @default.
- W2912031978 cites W2110158442 @default.
- W2912031978 cites W2124695272 @default.
- W2912031978 cites W2133801219 @default.
- W2912031978 cites W2144783994 @default.
- W2912031978 cites W2162266621 @default.
- W2912031978 cites W2292156732 @default.
- W2912031978 cites W2302088975 @default.
- W2912031978 cites W2566595997 @default.
- W2912031978 cites W2580435456 @default.
- W2912031978 cites W2588334082 @default.
- W2912031978 cites W2620296437 @default.
- W2912031978 cites W2620789099 @default.
- W2912031978 cites W2767961544 @default.
- W2912031978 cites W2770306918 @default.
- W2912031978 cites W2771571905 @default.
- W2912031978 cites W2885361335 @default.
- W2912031978 cites W2898399263 @default.
- W2912031978 cites W2903238365 @default.
- W2912031978 cites W2964108579 @default.
- W2912031978 doi "https://doi.org/10.3390/electronics8020163" @default.
- W2912031978 hasPublicationYear "2019" @default.
- W2912031978 type Work @default.
- W2912031978 sameAs 2912031978 @default.
- W2912031978 citedByCount "8" @default.
- W2912031978 countsByYear W29120319782019 @default.
- W2912031978 countsByYear W29120319782020 @default.
- W2912031978 countsByYear W29120319782021 @default.
- W2912031978 crossrefType "journal-article" @default.
- W2912031978 hasAuthorship W2912031978A5031047306 @default.
- W2912031978 hasAuthorship W2912031978A5060329788 @default.
- W2912031978 hasAuthorship W2912031978A5062321530 @default.
- W2912031978 hasBestOaLocation W29120319781 @default.
- W2912031978 hasConcept C105795698 @default.
- W2912031978 hasConcept C112633086 @default.
- W2912031978 hasConcept C113660513 @default.
- W2912031978 hasConcept C11413529 @default.
- W2912031978 hasConcept C115961682 @default.
- W2912031978 hasConcept C139945424 @default.
- W2912031978 hasConcept C153180895 @default.
- W2912031978 hasConcept C154945302 @default.
- W2912031978 hasConcept C163294075 @default.
- W2912031978 hasConcept C169334058 @default.
- W2912031978 hasConcept C22789450 @default.
- W2912031978 hasConcept C2524010 @default.
- W2912031978 hasConcept C2777210771 @default.
- W2912031978 hasConcept C33923547 @default.
- W2912031978 hasConcept C41008148 @default.
- W2912031978 hasConcept C4199805 @default.
- W2912031978 hasConcept C50644808 @default.
- W2912031978 hasConcept C55352655 @default.
- W2912031978 hasConcept C76155785 @default.
- W2912031978 hasConcept C9417928 @default.
- W2912031978 hasConcept C99498987 @default.
- W2912031978 hasConceptScore W2912031978C105795698 @default.
- W2912031978 hasConceptScore W2912031978C112633086 @default.
- W2912031978 hasConceptScore W2912031978C113660513 @default.
- W2912031978 hasConceptScore W2912031978C11413529 @default.
- W2912031978 hasConceptScore W2912031978C115961682 @default.
- W2912031978 hasConceptScore W2912031978C139945424 @default.
- W2912031978 hasConceptScore W2912031978C153180895 @default.
- W2912031978 hasConceptScore W2912031978C154945302 @default.
- W2912031978 hasConceptScore W2912031978C163294075 @default.
- W2912031978 hasConceptScore W2912031978C169334058 @default.
- W2912031978 hasConceptScore W2912031978C22789450 @default.
- W2912031978 hasConceptScore W2912031978C2524010 @default.
- W2912031978 hasConceptScore W2912031978C2777210771 @default.
- W2912031978 hasConceptScore W2912031978C33923547 @default.
- W2912031978 hasConceptScore W2912031978C41008148 @default.
- W2912031978 hasConceptScore W2912031978C4199805 @default.
- W2912031978 hasConceptScore W2912031978C50644808 @default.
- W2912031978 hasConceptScore W2912031978C55352655 @default.
- W2912031978 hasConceptScore W2912031978C76155785 @default.
- W2912031978 hasConceptScore W2912031978C9417928 @default.
- W2912031978 hasConceptScore W2912031978C99498987 @default.
- W2912031978 hasIssue "2" @default.
- W2912031978 hasLocation W29120319781 @default.