Super-resolving noisy images
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Singh, Abhishek; Porikli, Fatih; Ahuja, Narendra
Description
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]
Collections | ANU Research Publications |
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Date published: | 2014 |
Type: | Conference paper |
URI: | http://hdl.handle.net/1885/54883 |
Source: | Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition |
DOI: | 10.1109/CVPR.2014.364 |
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01_Singh_Super-resolving_noisy_im_2014.pdf | 1.16 MB | Adobe PDF |
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