deconvtv - fast algorithm for total variation deconvolution

Total variation regularized least-squares deconvolution is one of the most standard image processing problems. This package provides an implementation of the current state-of-art algorithm using the concept of augmented Lagrangian [1], which can be considered as a variation of the popularly known Alternating Direction Methods of Multipliers (ADMM). The user interface of deconvtv is identical to the current MATLAB's deconvolution tools, including deconvwnr, deconvlucy, and deconvreg:

out = deconvtv(img, psf, mu, opt);

deconvtv supports direct space-time processing for both image and video deconvolution problems.

Applications of deconvtv include, and are not limited to: image and video deblurring, image and video denoising, depth data enhancement, hot-air turbulence stabilization, and multi-view synthesis.

For additional information and citations, please refer to:
[1] S.H. Chan, R. Khoshabeh, K.B. Gibson, P.E. Gill, and T.Q. Nguyen, "An augmented Lagrangian method for total variation video restoration", IEEE Trans. Image Process., vol. 20, no. 11, p. 3097-3111, 2011.