Blind deblurring using adaptive image model
Ngoc-Thuy Le, Ngoc-Minh Nguyen · 2016
The paper studies the blind deblurring algorithms using the proposed adaptive image model which is based on the random line field. Both algorithms are constructed following the Bayesian framework. The deblurring results of the proposed algorithm are compared with those of the deblurring algorithms in the literature. The algorithm using our image model yields the comparable result in term of the improved signal noise ratio and the computational time.