根据人眼视网膜上的锥细胞和柱细胞的视觉特性，提出了用于彩色图像增强的视觉适应性模型。基于Retinex和视觉适应性模型提出了一种新的图像增强算法，先将图像进行简单去光照分量处理，得到反射分量的近似解，再根据视觉适应性模型对反射图像的近似解进行全局对比度和亮度的调整，使之适应于人的视觉。实验中使用的算法和经典Retinex算法处理相同的RGB退化图像，对处理结果进行了定性和定量比较，结果表明提出的算法在增强图像细节，提高全局对比度方面优于已有的Retinex算法。

According to the vision character of cone and rod in human’s retina, a new model called vision adaptability model is proposed in this paper, the model aims at enhancing color image. Based on Retinex and vision adaptability model a new algorithm for image enhancement is proposed, in this algorithm the illumination image’s approximate is simply removed and the reflectance image’s approximate is calculated, then the global contrast and brightness of reflectance image’s approximate are adjusted according to the proposed model, which make the enhanced image agree with human’s vision. The proposed algorithm and some classic Retinex algorithms are applied to the same degraded RGB images in the experiment, then qualitative analysis and quantitative analysis are conducted on the experimental results. It can be concluded from the comparison that the proposed algorithm performs better than preexisted Retinex algorithms on enhancing the image details and upgrading the global contrast.