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Super-resolving noisy images

Singh, Abhishek; Porikli, Fatih; Ahuja, Narendra


Our goal is to obtain a noise-free, high resolution (HR) image, from an observed, noisy, low resolution (LR) image. The conventional approach of preprocessing the image with a denoising algorithm, followed by applying a super-resolution (SR) algorithm, has an important limitation: Along with noise, some high frequency content of the image (particularly textural detail) is invariably lost during the denoising step. This 'denoising loss' restricts the performance of the subsequent SR step,...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
Source: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
DOI: 10.1109/CVPR.2014.364


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