Bilateral Filtering and Directional Differentiation for Bayer Demosaicking

Abstract

In this paper, we introduce an efficient image demosaicking method using a bilateral filter and directional differentiation with consideration of both the spatial closeness and the similarity between the interpolated pixel and the neighbor pixels. Spatial closeness is considered as spatial locality. We utilize an adaptive weighted average to estimate the missing pixel value, where the adaptive weight is calculated based on three components: directional differentiation, similarity between the pixel and each of its neighbor pixels, and spatial locality. The experimental results show that the proposed method outperforms existing approaches in both objective and subjective performance.