Research Article
A Variational Bayesian Superresolution Approach Using Adaptive Image Prior Model
Algorithm 1
Our iterative SR algorithm.
Input: | The observations ; The motion parameters ; The hyper-parameters , | ; The scale parameters ; The parameters . | Output: | The HR image ; | (1) Use the Bicubic interpolation of the first LR image as initial value for the HR image. | (2) ; | (3) repeat | (4) Compute by using (20) and (21); | (5) Compute by using (22); | (6) Compute by using (23) and (24); | (7) Compute by using (25); | (8) Compute by using (26) and (27); | (9) Compute by using (14); | (10) ; | (11) until convergence criterion is met | (12) Set . |
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