Module tvl1¶
This module includes the following classes:
-
Solve the \(\ell_1\)-TV denoising problem
\[\mathrm{argmin}_\mathbf{x} \; \| W_{\mathrm{df}} (\mathbf{x} - \mathbf{s}) \|_1 + \lambda \left \| W_{\mathrm{tv}} \sqrt{(G_r \mathbf{x})^2 + (G_c \mathbf{x})^2} \right \|_1\] -
Solve the \(\ell_1\)-TV deconvolution problem
\[\mathrm{argmin}_\mathbf{x} \; \| W_{\mathrm{df}} (H \mathbf{x} - \mathbf{s}) \|_1 + \lambda \left \| W_{\mathrm{tv}} \sqrt{(G_r \mathbf{x})^2 + (G_c \mathbf{x})^2} \right \|_1\]
Usage examples are available.