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Fig. 3 | EURASIP Journal on Advances in Signal Processing

Fig. 3

From: Regularized supervised Bayesian approach for image deconvolution with regularization parameter estimation

Fig. 3

Deconvolution of Lena image. From left to right, the first column represents degradation by kernel 1, the second column for the degradation by kernel 2, and by kernel 3 in the third column. From top to bottom, the order of the rows is as follows: blurred images using the three kernels respectively, restored images using RL algorithm [11] (kernel 1 (iterations = 100), kernel 2 (iterations = 200) and kernel 3 (iterations = 40)), restored images using Wiener filter [9], restored images using TV method [14], restored images using BTV approach [16], and finally the restored images using our proposed MAP- H1 model

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