Bayer demosaicking using optimised mean curvature over RGB channels
Rui Chen, Huizhu Jia, Xiange Wen, Xiaodong Xie · Electronics Letters · 2017
Colour artefacts of demosaicked images are often found at contours due to interpolation across edges and cross‐channel aliasing. To tackle this problem, a novel demosaicking method to reliably reconstruct colour channels of a Bayer image based on two different optimised mean‐curvature (MC) models is proposed. The missing pixel values in green (G) channel are first estimated by minimising a variational MC model. The curvatures of restored G‐image surface are approximated as a linear MC model which guides the initial reconstruction of red (R) and blue (B) channels. Then a refinement process is performed to interpolate accurate full‐resolution R and B images. Experiments on benchmark images have testified to the superiority of the proposed method in terms of both the objective and subjective quality.