Image Reconstruction Based on the Total Variation Model

A comprehensive software package for Total Variation-based image reconstruction, featuring implementations for denoising, inpainting, and deblurring operations. The package employs first-order optimization algorithms and incorporates regularization techniques to preserve edges while removing noise and artifacts. Reference: J. Dahl, P. C. Hansen, S. H. Jensen, and T. L. Jensen, "Algorithms and Software for Total Variation Image Reconstruction via First-Order Methods," Numerical Algorithms, vol. 53, 2010, pp. 67-92.