10 citations · 12 across the 3 of their papers we have counts for
3 papers
Blind Motion Deblurring with Pixel-Wise Kernel Estimation via Kernel Prediction Networks
Guillermo Carbajal, Patricia Vitoria, José Lezama +1
In recent years, the removal of motion blur in photographs has seen impressive progress in the hands of deep learning-based methods, trained to map directly from blurry to sharp im…
Assessing the Role of Datasets in the Generalization of Motion Deblurring Methods to Real Images
Guillermo Carbajal, Patricia Vitoria, José Lezama +1
Successfully training end-to-end deep networks for real motion deblurring requires datasets of sharp/blurred image pairs that are realistic and diverse enough to achieve generaliza…
Non-uniform Blur Kernel Estimation via Adaptive Basis Decomposition
Guillermo Carbajal, Patricia Vitoria, Mauricio Delbracio +2
Motion blur estimation remains an important task for scene analysis and image restoration. In recent years, the removal of motion blur in photographs has seen impressive progress i…