Answers are grounded in this paper and cite their sources.
Total variation (TV) regularization has become a popular method for a wide variety of image restoration problems, including denoising and deconvolution. A number of authors have recently noted the advantages of replacing the standard lscr2data fidelity term with an lscr1norm. We propose a simple but very flexible method for solving a generalized TV functional that includes both the lscr2-TV and lscr1-TV problems as special cases. This method offers competitive computational performance for lscr2-TV and is comparable to or faster than any other lscr1-TV algorithms of which we are aware.
No takes yet. Share an insight, caveat, or question.
Wohlberg et al. (2007) studied this question.
Synapse has enriched 10 related papers. Consider them for comparative context: