基于光照叠加的颜色恒常计算方法

Light Superposition-based Color Constancy Computational Method

颜色恒常性是人类视觉系统对外界视觉刺激中色彩感知的一种心理倾向,人类视觉的这种认知功能能够自适应地忽略外界光照变化,具有稳定的颜色感知能力。受到人类视觉系统对颜色感知的启发,针对如何有效消除外界光照对成像质量的影响,还原物理场景真实颜色并提供稳定的颜色特征这一问题,文中提出了一种基于光照叠加的颜色恒常计算方法,旨在有效消除外界光照的光谱成分变化对物体颜色的影响。首先,提出了MAX-MEAN方法对场景中的光照进行估计(简称MM估计),即通过场景中所有物体表面的平均反射和最大反射来估计场景中的光照;然后,基于MM估计提出了光照叠加的颜色恒常计算方法,得到最终的无色偏图像,并在公开的数据集SFU Gray-ball上包含11346幅室内室外场景图像进行仿真验证。实验结果表明,文中提出的光照叠加颜色恒常计算方法能够有效地估计光照信息并实现无色偏图像的计算。

Color constancy is a psychological tendency of the human visual system the color perception of external visual stimuli.This cognitive function of human vision can adaptively ignore external changes,and perceive colors steadily.Inspired by the color perception of the human visual system,considering the capability that computer vision tasks eliminate the effect of external light automatically,it is of important research significance to restore the true color information of objects and provide stable color characteristics.This paper proposes a light superposition-based color constancy computational method,which can effectively eliminate the influence of changes in the spectral composition of external light on the color of objects.First of all,the MAX-MEAN method is proposed to estimate the illumination in the scene(MM estimation,in short),that is,estimating the illumination in the achromatic scene by the average reflection and maximum reflection of all object surfaces in the scene.Then,based on the MM estimation,the color constant calculation method of light superposition is used to obtain the final color-free image.11346 indoor and outdoor scene images in the SFU Gray-ball public data set are used for simulation and validation.The experimental results show that the illumination superposition color constant calculation method proposed in this paper can effectively estimate the illumination information,perform the color constancy calculation,and get the image without color constancy.