Content Preserving Scale Space Network for Fast Image Restoration from Noisy-Blurry Pairs

Green Rosh, Pawan Prasad B H

Abstract: Hand-held photography in low-light conditions presents a number of challenges to capture high quality images. Capturing using a high ISO results in noisy images, while capturing using longer exposure results in blurry images. This necessitates post-processing techniques to restore the latent image. Most existing methods try to estimate the latent image either by denoising or by deblurring a single image. Both these approaches are ill-posed and often result in unsatisfactory results. A few methods try to alleviate this ill-posedness using a pair of noisy-blurry images as inputs. However, most of the methods using this approach are computationally very expensive. In this paper, we propose a fast method to estimate a latent image given a pair of noisy-blurry images. To accomplish this, we propose a deep-learning based approach that uses scale space representation of the images. To improve computational efficiency …