Image demosaicing using Deep Image Prior
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Date
2023
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Mark
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Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií
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Abstract
The paper focuses on the problem of image demosaicingusing the deep image prior. The deep image prior (DIP)is an uncommon concept that uses a generative neural networkwhich, however, utilizes only the degraded image as the inputfor training. A novel method for image demosaicing is proposed,based on DIP, and it is compared with common demosaicingmethods. In terms of the objective PSNR and SSIM values,the proposed method proved to be comparable with a widelyused Malvar’s demosaicing method. Nevertheless, subjectively,DIP produces demosaiced images comparable with the superiorMenon’s algorithm. Unfortunately, the proposed method turnedout to be computationally immensely challenging
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Proceedings II of the 29st Conference STUDENT EEICT 2023: Selected papers. s. 17-20. ISBN 978-80-214-6154-3
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf
https://www.eeict.cz/eeict_download/archiv/sborniky/EEICT_2023_sbornik_2_v2.pdf
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en
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© Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií