Demosaicking based on dual-CFA pattern
Xiangdong Chen, Haoran Wu, Bo Yang, Gwanggil Geon · 2017
In this paper, we propose a dual-CFA pattern for imaging system. Different from the conventional single CFA, the proposed dual-CFA imaging system has two advantages: first, compared with the single CFA pattern, the populated image based on the dual-CFA pattern has almost no artifacts on the edge and texture details; second, it greatly reduces the false color artifacts because more color information can be used when interpolating the missing color components; As compared with the latest demosaicking algorithms, experiments show that the proposed algorithm provides superior performance in terms of both objective and subjective image qualities.