S. Durand and J. Froment, Artifact Free Signal Denoising with Wavelets, in Proceedings of ICASSP'01, volume 6, 2001, pp. 3685-3688. Home/Search Document Details and Download
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A Best Wavelet Packet Basis for Joint Image.. - Dhérété, Durand, al. Self-citation (Durand Froment) (Correct)
....zeros allows a much more compact coding. The thresholding and quantization of wavelet packet coefficients lead to oscillations in the vicinity of edges, known as pseudo Gibbs phenomena. These well known artifacts may be lowered with some post processing, such as total variation minimization [3] [2]. ....
S. Durand and J. Froment. Artifact free signal denoising with wavelets. In Proc. of ICASSP'01, volume 6, 2001.
Reconstruction Of Wavelet Coefficients Using Total Variation.. - Durand, Froment Self-citation (Durand Froment) (Correct)
....we define a constrained problem but which is free of regularization parameter. Since the important wavelet coefficients are kept unchanged, there is no need for a fitting term. The only parameter is the threshold , and it can be fixed according to (1. 8) We have exposed this denoising model in [14], in a mathematically simplified version. The aim of the current article is to present and justify the algorithm used to solve the model in the 1D case, which is based on a subgradient descent combining a projection on a linear space. Section 2 recalls the model in the continuous case, while ....
S. Durand and J. Froment. Artifact free signal denoising with wavelets. In Proc. of ICASSP'01, volume 6, 2001.
Total Variation Wavelet Inpainting - Chan, Shen, Zhou (Correct)
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S. Durand and J. Froment, Artifact Free Signal Denoising with Wavelets, in Proceedings of ICASSP'01, volume 6, 2001, pp. 3685-3688.
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