Proximity algorithms for the $ {\mathit{L}}^{1}{\mathit{L}}^{2}/{\mathit{T}\mathit{V}}^{\mathit{\alp...
Proximity algorithms for the $ {\mathit{L}}^{1}{\mathit{L}}^{2}/{\mathit{T}\mathit{V}}^{\mathit{\alpha }} $ image denoising model
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English
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Inspired by the ROF model and the $ {L}^{1}/TV $ image denoising model, we propose a combined model to remove Gaussian noise and salt-and-pepper noise simultaneously. This model combines the $ {L}^{1} $ -data fidelity term, $ {L}^{2} $ -data fidelity term and a fractional-order total variation regularization term, and is termed the $ {L}^{1}{L}^{2}...
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Proximity algorithms for the $ {\mathit{L}}^{1}{\mathit{L}}^{2}/{\mathit{T}\mathit{V}}^{\mathit{\alpha }} $ image denoising model
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TN_cdi_crossref_primary_10_3934_math_2024807
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_crossref_primary_10_3934_math_2024807
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2473-6988
E-ISSN
2473-6988
DOI
10.3934/math.2024807