Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/145824
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dc.contributor.authorLiu, Shuminen_US
dc.contributor.authorChen, Jiajiaen_US
dc.contributor.authorXun, Yuanen_US
dc.contributor.authorZhao, Xiaojinen_US
dc.contributor.authorChang, Chip-Hongen_US
dc.date.accessioned2021-01-11T02:05:08Z-
dc.date.available2021-01-11T02:05:08Z-
dc.date.issued2020-
dc.identifier.citationLiu, S., Chen, J., Xun, Y., Zhao, X., & Chang, C.-H. (2020). A new polarization image demosaicking algorithm by exploiting inter-channel correlations with guided filtering. IEEE Transactions on Image Processing, 29, 7076-7089. doi:10.1109/TIP.2020.2998281en_US
dc.identifier.issn1941-0042en_US
dc.identifier.urihttps://hdl.handle.net/10356/145824-
dc.description.abstractThis paper presents a fast and effective polarization image demosaicking algorithm, which explores inter-channel dependency of Stokes parameters for the minimization of residual aliasing artifacts after cubic spline interpolation. A guided filtering approach is used for denoising. An optimization based on the confidence level of the aforementioned guided filtering, the correlations between the demosaicked image and input, as well as the total intensity, angle and degree of linear polarization, is constructed and solved with Newton’s method. Experimental results demonstrate that the proposed algorithm can surpass the existing methods in terms of both objective root mean squared error and structural similarity index by at least 36.0% and 3.4%, respectively, and by close visual inspection of the clarity of objects in the angle and degree of linear polarization images. The proposed algorithm consists of only convolutions and elementwise operations, making it fast and parallelizable for efficient GPU acceleration. An image of size 512×612×4 can be processed within 10 s on i7-6700k CPU, and gains further 5 times speedup with M4000M GPU.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.language.isoenen_US
dc.relationMOE2018-T1- 001-131, RG87/18-(S)en_US
dc.relation.ispartofIEEE Transactions on Image Processingen_US
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. The published version is available at: https://doi.org/10.1109/TIP.2020.2998281en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleA new polarization image demosaicking algorithm by exploiting inter-channel correlations with guided filteringen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.researchCentre for Integrated Circuits and Systemsen_US
dc.identifier.doi10.1109/TIP.2020.2998281-
dc.description.versionAccepted versionen_US
dc.identifier.volume29en_US
dc.identifier.spage7076en_US
dc.identifier.epage7089en_US
dc.subject.keywordsGuided Filteren_US
dc.subject.keywordsImage Demosaickingen_US
dc.description.acknowledgementThis work was supported in part by the Nanjing University of Aeronautics and Astronautics, Nanjing, China, under Grant 56Y AH18043 and Grant PAC19009 and in part by the Singapore Ministry of Education AcRF Tier 1 under Grant MOE2018-T1- 001-131, RG87/18-(S).en_US
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