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Category-Specific Object Image Denoising

Anwar, Saeed; Porikli, Fatih; Huynh, Cong


We present a novel image denoising algorithm that uses external, category specific image database. In contrast to existing noisy image restoration algorithms that search patches either from a generic database or noisy image itself, our method first selects clean images similar to the noisy image from a database that consists of images of the same class. Then, within the spatial locality of each noisy patch, it assembles a set of “support patches” from the selected images. These noisy-free...[Show more]

CollectionsANU Research Publications
Date published: 2017-07-13
Type: Journal article
Source: IEEE Transactions on Image Processing
DOI: 10.1109/TIP.2017.2733739


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