Jeong Kyeonghoon, Kim Jonghyun, Kang Moon Gi
School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, Korea.
Sensors (Basel). 2022 Apr 13;22(8):2981. doi: 10.3390/s22082981.
In recent years, red, green, blue, and white (RGBW) color filter arrays (CFAs) have been developed to solve the problem of low-light conditions. In this paper, we propose a new color demosaicing algorithm for RGBW CFAs using a Laplacian pyramid. Because the white channel has a high correlation to the red, green, and blue channels, the white channel is interpolated first using each color difference channel. After we estimate the white channel, the red, green, and blue channels are interpolated using the Laplacian pyramid decomposition of the estimated white channel. Our proposed method using Laplacian pyramid restoration works with Canon-RGBW CFAs and any other periodic CFAs. The experimental results demonstrated that the proposed method shows superior performance compared with other conventional methods in terms of the color peak signal-to-noise ratio, structural similarity index measure, and average execution time.
近年来，为了解决低光照条件问题，已开发出红、绿、蓝、白（RGBW）彩色滤光片阵列（CFA）。在本文中，我们提出了一种使用拉普拉斯金字塔的RGBW CFA彩色去马赛克算法。由于白色通道与红色、绿色和蓝色通道具有高度相关性，因此首先使用每个色差通道对白色通道进行插值。在估计出白色通道后，利用估计出的白色通道的拉普拉斯金字塔分解对红色、绿色和蓝色通道进行插值。我们提出的使用拉普拉斯金字塔恢复的方法适用于佳能-RGBW CFA和任何其他周期性CFA。实验结果表明，在颜色峰值信噪比、结构相似性指数测量和平均执行时间方面，该方法与其他传统方法相比具有优越的性能。
