1. Acar, R., & Vogel, C. (1994). Analysis of total variation penalty methods. Inverse Problems, 10, 1217–1229.
2. Bar, L., Kiryati, N., & Sochen, N. (2006). Image deblurring in the presence of impulsive noise. International Journal of Computer Vision, 70, 279–298.
3. Bect, J., Blanc-Féraud, L., Aubert, J., & Chambolle, A. (2004). A l 1-unified variational framework for image restoration. In Proc. ECCV’2004, Prague, Czech Republic, Part IV: LNCS 3024 (pp. 1–13).
4. Bilmes, J. (1998). A gentle tutorial of the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Available at http://citeseer.ist.psu.edu/bilmes98gentle.html .
5. Chan, T., & Wong, C. (1998). Total variation blind deconvolution. IEEE Trans. Image Processing, 7, 370–375.