Improved directional weighted interpolation method for single-sensor camera imaging

Abstract

We present an improved directional weighted interpolation method for single-sensor camera imaging. By observing the fact that the conventional directional weighted interpolation methods are based on unreliable assumptions using spectral correlation, a contribution of this work is made using an antialiasing finite impulse response filter to improve the interpolation accuracy by exploiting robust spectral correlation. We also make a contribution toward refining the interpolation result by using the gradient inverse weighted filtering method. An experimental analysis of images revealed that our proposed algorithm provided superior performance in terms of both objective and subjective image quality compared to conventional directional weighted demosaicking algorithms. Our implementation has very low complexity and is, therefore, well suited for real-time applications.