  In this paper, we revisit the "FTVd" algorithm for Fast Total Variation
Regularized Deconvolution, which has been widely used in the past few years.
Both its original version implemented in the MATLAB software FTVd 3.0 and its
related variant implemented in the latter version FTVd 4.0 are considered
\cite{Wang08FTVdsoftware}. We propose that the intermediate results during the
iterations are the solutions of a series of combined Tikhonov and total
variation regularized image deconvolution models and therefore some of them
often have even better image quality than the final solution, which is
corresponding to the pure total variation regularized model.
