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- Publisher Website: 10.1016/j.jvcir.2016.10.009
- Scopus: eid_2-s2.0-84996598638
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Article: A spatially variant total variational model for chromatic aberration correction
Title | A spatially variant total variational model for chromatic aberration correction |
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Authors | |
Keywords | Chromatic aberration Total variational Spatially variant Iterative algorithm |
Issue Date | 2016 |
Citation | Journal of Visual Communication and Image Representation, 2016, v. 41, p. 296-304 How to Cite? |
Abstract | © 2016 Elsevier Inc. In this paper, we propose a spatially variant total variational model to correct chromatic aberration (CA) that causes false color artifacts near edges in captured images. In general, it may be very difficult to determine suitably CA regions in captured images. Instead of using local image processing methods, our idea is to make use of spatially variant model to control the gradient and intensity matching between the red and blue color channels and the green color channel at the edges. The total variation regularization is also employed to constraint the change of the intensity of red and blue color channels during the gradient and intensity matching. We present both theoretical results and algorithms for the proposed model. Experimental results are given to illustrate the effectiveness of the proposed model and algorithm and show that their corrected images are visually better than those corrected by the other testing methods. |
Persistent Identifier | http://hdl.handle.net/10722/276770 |
ISSN | 2023 Impact Factor: 2.6 2023 SCImago Journal Rankings: 0.671 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Pi, Ling | - |
dc.contributor.author | Wang, Wei | - |
dc.contributor.author | Ng, Michael | - |
dc.date.accessioned | 2019-09-18T08:34:36Z | - |
dc.date.available | 2019-09-18T08:34:36Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Journal of Visual Communication and Image Representation, 2016, v. 41, p. 296-304 | - |
dc.identifier.issn | 1047-3203 | - |
dc.identifier.uri | http://hdl.handle.net/10722/276770 | - |
dc.description.abstract | © 2016 Elsevier Inc. In this paper, we propose a spatially variant total variational model to correct chromatic aberration (CA) that causes false color artifacts near edges in captured images. In general, it may be very difficult to determine suitably CA regions in captured images. Instead of using local image processing methods, our idea is to make use of spatially variant model to control the gradient and intensity matching between the red and blue color channels and the green color channel at the edges. The total variation regularization is also employed to constraint the change of the intensity of red and blue color channels during the gradient and intensity matching. We present both theoretical results and algorithms for the proposed model. Experimental results are given to illustrate the effectiveness of the proposed model and algorithm and show that their corrected images are visually better than those corrected by the other testing methods. | - |
dc.language | eng | - |
dc.relation.ispartof | Journal of Visual Communication and Image Representation | - |
dc.subject | Chromatic aberration | - |
dc.subject | Total variational | - |
dc.subject | Spatially variant | - |
dc.subject | Iterative algorithm | - |
dc.title | A spatially variant total variational model for chromatic aberration correction | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.jvcir.2016.10.009 | - |
dc.identifier.scopus | eid_2-s2.0-84996598638 | - |
dc.identifier.volume | 41 | - |
dc.identifier.spage | 296 | - |
dc.identifier.epage | 304 | - |
dc.identifier.eissn | 1095-9076 | - |
dc.identifier.isi | WOS:000389169000026 | - |
dc.identifier.issnl | 1047-3203 | - |