Reconstruction of Wavelet Coefficients Using Total
نویسندگان
چکیده
We propose a model to reconstruct wavelet coeecients using a total variation minimization algorithm. The approach is motivated by wavelet signal denoising methods, where thresh-olding small wavelet coeecients leads pseudo-Gibbs artifacts. By replacing these thresholded coef-cients by values minimizing the total variation, our method performs a nearly artifact free signal denoising. In this paper, we detail the algorithm based on a subgradient descent combining a projection on a linear space. The convergence of the algorithm is established and numerical experiments are reported.
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تاریخ انتشار 2003