An l1-TV algorithm for deconvolution with salt and pepper noise
Brendt E. Wohlberg · OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information) · 2024
There has recently been considerable interest in applying Total Variation with an {ell}{sup 1} data fidelity term to the denoising of images subject to salt and pepper noise, but the extension of this formulation to more general problems, such as deconvolution, has received little attention, most probably because most efficient algorithms for {ell}{sup 1}-TV denoising can not handle more general inverse problems. We apply the Iteratively Reweighted Norm algorithm to this problem, and compare performance with an alternative algorithm based on the Mumford-Shah functional.