Cell phone camera manufacturers use a variety of illuminant estimation methods to automatically white balance images, which often produce very different results. The goal of this study is to estimate aim white point as a function of the light source used during image capture. The results of this study may support a standard aim point for automatic white balance algorithms. Images with eight different scene light sources and five scene contents were captured and displayed using color correction and color management techniques. A Method of Adjustment experiment was conducted to determine the average preferred white-point and variation in preference between observers for images captured under different light sources and with different scene contents. This research provides information about how the preferred white-point for balancing an image changes dependent on the actual scene light source and the scene content.
Ben Bodner, Yixuan Wang, Susan Farnand, "Effect of Capture Illumination on Preferred White Point for Camera Automatic White Balance" in Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XIII, 2016, https://doi.org/10.2352/ISSN.2470-1173.2016.13.IQSP-219