Combined use of spatial and spectral correlations for enhanced color filter array demosaicking
Single-sensor digital still cameras capture imagery with a color filter array in a way that each sensor pixel samples only one of the primary color values. To render a full-color image from CFA samples, the missing color values need to be interpolated from the neighboring samples. This process is commonly referred to as demosaicking. In this paper, we present two main contributions to demosaicking. First, we stress the importance and necessity of well exploiting both image spatial and spectral correlations, and characterize the demosaicking artifacts due to inadequate use of either correlation. Second, based on the insights gained from our study, we propose several effective schemes to enhance two existing state-of-the-art demosaicking methods. Experimental results demonstrate the improvement of the enhanced methods, both visually and quantitatively.