By imitating the function of receptive fields of the primary visual cortical neurons, we proposed a color-constancy model that combines the ideas of image derivative framework and non-negative sparse coding. From the standpoint of image processing, statistical measures showed that the color compensation ability of the proposed model can be comparable to the current best technical methods. In the view of computational neuroscience,our results also provide support for the notion that primary visual cortex plays critical role on the capacity of color constancy.%本文通过模拟初级视皮层神经元感受野在视觉信息处理中的功能,提出了一种基于图像导数框架和非负稀疏编码思想的颜色恒常性计算模型,以实现对色偏图像的颜色矫正.从解决工程问题的角度,本文提出的基于生理机制的计算模型在处理效果上可与目前最好的颜色恒常性算法相媲美；从计算神经科学的角度,本文模型支持了大脑初级视皮层在视觉颜色恒常性中扮演重要角色的观点.
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