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dc.contributor.authorSun, Tiancheng
dc.contributor.authorPeng, Yifan
dc.contributor.authorHeidrich, Wolfgang
dc.date.accessioned2018-02-21T06:47:36Z
dc.date.available2018-02-21T06:47:36Z
dc.date.issued2017-12-25
dc.identifier.citationSun T, Peng Y, Heidrich W (2017) Revisiting Cross-Channel Information Transfer for Chromatic Aberration Correction. 2017 IEEE International Conference on Computer Vision (ICCV). Available: http://dx.doi.org/10.1109/ICCV.2017.352.
dc.identifier.doi10.1109/ICCV.2017.352
dc.identifier.urihttp://hdl.handle.net/10754/627152
dc.description.abstractImage aberrations can cause severe degradation in image quality for consumer-level cameras, especially under the current tendency to reduce the complexity of lens designs in order to shrink the overall size of modules. In simplified optical designs, chromatic aberration can be one of the most significant causes for degraded image quality, and it can be quite difficult to remove in post-processing, since it results in strong blurs in at least some of the color channels. In this work, we revisit the pixel-wise similarity between different color channels of the image and accordingly propose a novel algorithm for correcting chromatic aberration based on this cross-channel correlation. In contrast to recent weak prior-based models, ours uses strong pixel-wise fitting and transfer, which lead to significant quality improvements for large chromatic aberrations. Experimental results on both synthetic and real world images captured by different optical systems demonstrate that the chromatic aberration can be significantly reduced using our approach.
dc.description.sponsorshipThis work was supported by KAUST baseline funding, as well as a UBC 4YF Doctoral Fellowship. The authors thank Tao Yue, Qiang Fu, and Felix Heide for the help on synthetic results.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relation.urlhttp://ieeexplore.ieee.org/document/8237614/
dc.rights(c) 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
dc.titleRevisiting Cross-Channel Information Transfer for Chromatic Aberration Correction
dc.typeConference Paper
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentComputer Science Program
dc.contributor.departmentVisual Computing Center (VCC)
dc.identifier.journal2017 IEEE International Conference on Computer Vision (ICCV)
dc.conference.date2017-10-22 to 2017-10-29
dc.conference.name16th IEEE International Conference on Computer Vision, ICCV 2017
dc.conference.locationVenice, ITA
dc.eprint.versionPost-print
dc.contributor.institutionIIIS, Tsinghua University, Beijing, , China
dc.contributor.institutionUniversity of British Columbia, Vancouver, , Canada
kaust.personSun, Tiancheng
kaust.personPeng, Yifan
kaust.personHeidrich, Wolfgang
refterms.dateFOA2018-06-14T05:28:06Z
dc.date.published-online2017-12-25
dc.date.published-print2017-10


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