A Low-Complexity Interpolation Method for Single-Sensor Camera Imaging with White-RGB Color Filter Array

In this paper, we present low complexity interpolation method for single-sensor camera imaging with White-RGB color filter array (CFA). By observing the fact that the conventional WRGB image reproduction methods are based on unreliable color decomposition of the white signal in the three primary colors Red, Green and Blue. A robust estimation method is proposed to separate the green signal from the white signal. According to their symmetrical distribution, in the meanwhile, to coincide the sensitivity of the white signal with that of green signals, the green value in white pixel position is refined by the spectral correlation of the neighboring color ratio. Since the green color is populated robustly, the other color (Red, Blue) channels can be reproduced by conventional de mosaicking methods. Experimental analysis of images revealed that our proposed algorithm provided superior performance in terms of both objective and subjective image quality compared to conventional White-RGB algorithms. Our implementation has very low complexity and is therefore well suited for real-time applications.