A modified Block Matching 3D algorithm for additive noise reduction
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2016
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Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky
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Abstract
This paper presents a patch-based image ltering algorithm for addi- tive noise reduction. Our algorithm is a modi cation to the block matching 3D algorithm, where an adaptive thresholding was used for the collaborative hard- thresholding step. The collaborative Wiener ltering step was also modi ed by assigning more weights for similar patches. Experimental results show that our algorithm outperforms the original block matching 3D algorithm at various noise levels.
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Mathematics for Applications. 2016 vol. 5, č. 2, s. 93-103. ISSN 1805-3629
http://ma.fme.vutbr.cz/archiv/5_2/ma_5_2_alkinani_el_sakka_final.pdf
http://ma.fme.vutbr.cz/archiv/5_2/ma_5_2_alkinani_el_sakka_final.pdf
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Peer-reviewed
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en
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© Vysoké učení technické v Brně, Fakulta strojního inženýrství, Ústav matematiky