抄録
This paper introduces a new class of CFA interpolation algorithm. Conventional CFA interpolation methods usually apply a directional filtering in horizontal-, vertical-, or omni-direction even if edge runs in diagonal direction. We, then, invent a similarity based filtering using a local map called unified high-frequency (UHF) map. This new technique enables flexible filtering masks so as to be able to deal with edges of any direction such as diagonal edges. It is confirmed through experiments that the proposed algorithm outperforms state-of-the-art methods in terms of PSNR and subjective quality. In addition, the proposed algorithm is comparable to, or less expensive than the state-of-the-art methods regarding the resource consumption.
