2015 IEEE Workshop on Signal Processing Systems (SiPS) 2015
DOI: 10.1109/sips.2015.7345032
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A fast and accurate dental micro-CT image denoising based on total variation modeling

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Cited by 4 publications
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“…Despite the merits of the TV model, it faces some drawbacks, such as destroying the textures of images (see [6]). Interestingly in [8] this kind of attribute was richly applied to dental micro-CT image denoising. To overcome this drawback, Osher et al [6] proposed the following model which combined the norm for oscillatory functions proposed by Meyer [7](involving the H −1 norm) with the total variation minimization from the TV model:…”
Section: Introductionmentioning
confidence: 99%
“…Despite the merits of the TV model, it faces some drawbacks, such as destroying the textures of images (see [6]). Interestingly in [8] this kind of attribute was richly applied to dental micro-CT image denoising. To overcome this drawback, Osher et al [6] proposed the following model which combined the norm for oscillatory functions proposed by Meyer [7](involving the H −1 norm) with the total variation minimization from the TV model:…”
Section: Introductionmentioning
confidence: 99%