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A multiresolution framework for local similarity based image denoising
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Rajpoot, Nasir M. (Nasir Mahmood) and Butt, Irfan T. (2012) A multiresolution framework for local similarity based image denoising. Pattern Recognition, Vol.45 (No.8). pp. 2938-2951. doi:10.1016/j.patcog.2012.01.023 ISSN 0031-3203.
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WRAP_Rajpoot_Multiresolution_PR_Accepted.pdf - Accepted Version Download (1862Kb) | Preview |
Official URL: http://dx.doi.org/10.1016/j.patcog.2012.01.023
Abstract
In this paper, we present a generic framework for denoising of images corrupted with additive white Gaussian noise based on the idea of regional similarity. The proposed framework employs a similarity function using the distance between pixels in a multidimensional feature space, whereby multiple feature maps describing various local regional characteristics can be utilized, giving higher weight to pixels having similar regional characteristics. An extension of the proposed framework into a multiresolution setting using wavelets and scale space is presented. It is shown that the resulting multiresolution multilateral (MRM) filtering algorithm not only eliminates the coarse-grain noise but can also faithfully reconstruct anisotropic features, particularly in the presence of high levels of noise.
Item Type: | Journal Article | ||||
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||
Library of Congress Subject Headings (LCSH): | Image processing -- Digital techniques, Digital images -- Editing, Digital filters (Mathematics) | ||||
Journal or Publication Title: | Pattern Recognition | ||||
Publisher: | Pergamon | ||||
ISSN: | 0031-3203 | ||||
Official Date: | 2012 | ||||
Dates: |
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Volume: | Vol.45 | ||||
Number: | No.8 | ||||
Page Range: | pp. 2938-2951 | ||||
DOI: | 10.1016/j.patcog.2012.01.023 | ||||
Status: | Peer Reviewed | ||||
Publication Status: | Published | ||||
Access rights to Published version: | Restricted or Subscription Access | ||||
Date of first compliant deposit: | 22 December 2015 | ||||
Date of first compliant Open Access: | 22 December 2015 |
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