Total variation denoising
In signal processing, total variation denoising, also known as total variation regularization, is a process, most often used in digital image processing, that has applications in noise removal. It is based on the principle that signals with excessive and possibly spurious detail have high total variation, that is, the integral of the absolute gradient of the signal is high. According to this principle, reducing the total variation of the signal—subject to it being a close match to the original signal—removes unwanted detail whilst preserving important details such as edges. The concept was pioneered by Rudin, Osher, and Fatemi in 1992 and so is today known as the ROF model.
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Anisotropic diffusionAugmented Lagrangian methodBounded variationBregman methodCompressed sensingDeep learning in photoacoustic imagingDigital image processingEdge-preserving smoothingLOBPCGLeonid RudinList of named differential equationsNoise reductionNon-local meansPositron emission tomographyProximal operatorRegularization (mathematics)Regularized least squaresStep detectionTotal variationTotal variation regularisationTotal variation regularization
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Total variation denoising
In signal processing, total variation denoising, also known as total variation regularization, is a process, most often used in digital image processing, that has applications in noise removal. It is based on the principle that signals with excessive and possibly spurious detail have high total variation, that is, the integral of the absolute gradient of the signal is high. According to this principle, reducing the total variation of the signal—subject to it being a close match to the original signal—removes unwanted detail whilst preserving important details such as edges. The concept was pioneered by Rudin, Osher, and Fatemi in 1992 and so is today known as the ROF model.
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In signal processing, total va ...... at low signal-to-noise ratios.
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La regolarizzazione a variazio ...... basso rapporto segnale/rumore.
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總變差去噪(英語:Total Variation Denoi ...... 緣,即使在低訊號雜訊比的情況下,依然能有效的去噪和保留邊緣。
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In signal processing, total va ...... today known as the ROF model.
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La regolarizzazione a variazio ...... è anche noto come modello ROF.
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總變差去噪(英語:Total Variation Denoi ...... 緣,即使在低訊號雜訊比的情況下,依然能有效的去噪和保留邊緣。
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Regolarizzazione a variazione totale
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Total variation denoising
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總變差去噪
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