CFA Video Denoising and Demosaicking Chain via Spatiooral Patch-Based Filtering

Show simple item record Buades, A. Duran, J. 2024-02-07T07:16:33Z
dc.description.abstract Demosaicking and denoising are key steps in the camera imaging chain for both images and videos. The reconstruction errors during these stages will have undesirable effects on the final result if not handled properly. Demosaicking provokes the spatial and color correlation of noise, which is afterwards enhanced by the processing pipeline. This structured noise generally degrades the image quality and, for dark scenes with low signal to noise ratio, prevents the correct interpretation of the image. When trying to mitigate such structured noise on already processed data, denoising methods attenuate details and texture. We present a video processing chain, consisting of a novel strategy for the removal of noise at the camera sensor and a novel video demosaicking algorithm. In both cases, a spatio-temporal patch-based filter with motion compensation is introduced. The experimental results, including real examples, illustrate the performance of the proposed chain, avoiding the creation of interpolation artefacts and colored spots.
dc.format application/pdf
dc.relation.isformatof Versió postprint del document publicat a:
dc.relation.ispartof IEEE Transactions on Circuits and Systems for Video Technology, 2020, vol. 30, num. 11, p. 4143-4157
dc.subject.classification 51 - Matemàtiques
dc.subject.classification 004 - Informàtica
dc.subject.other 51 - Mathematics
dc.subject.other 004 - Computer Science and Technology. Computing. Data processing
dc.title CFA Video Denoising and Demosaicking Chain via Spatiooral Patch-Based Filtering
dc.type info:eu-repo/semantics/article
dc.type info:eu-repo/semantics/acceptedVersion 2024-02-07T07:16:33Z info:eu-repo/date/embargoEnd/2100-01-01
dc.embargo 2100-01-01
dc.rights.accessRights info:eu-repo/semantics/embargoedAccess

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