Abstract
Interpolation-friendly RGBW color filter arrays (CFAs) and the popular sequential demosaicking contain the idea of computational photography, where the CFA and the demosaicking method are co-designed. Due to the advantages, interpolation-friendly RGBW CFAs have been extensively used in commercial color cameras. However, most associated demosaicking methods rely on strict assumptions or are limited to a few specific CFAs with a given camera. In this paper, we propose a universal demosaicking method for interpolation-friendly RGBW CFAs, which enables the comparison of different CFAs. Our new method belongs to sequential demosaicking, i.e., W channel is interpolated first and then RGB channels are reconstructed with guidance from the interpolated W channel. Specifically, it first interpolates the W channel using only available W pixels followed by an aliasing reduction technique to remove aliasing artifacts. Then it employs an image decomposition model to built relations between W channel and each of RGB channels with known RGB values, which can be easily generalized to the full-size demosaicked image. We apply the linearized alternating direction method (LADM) to solve it with convergence guarantee. Our demosaicking method can be applied to all interpolation-friendly RGBW CFAs with varying color cameras and lighting conditions. Extensive experiments confirm the universal property and advantage of our proposed method with both simulated and real raw images.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.