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As the Retinex algorithm still has the deficiency of poor resolution in large-scale 3D generated images, this paper put forward strengthened model of a large-scale image on the basis of optimal Retinex algorithm. First of all, we segregate the image by brightness according to Weber’s law, then we apply enhancement factor of different levels to strengthen the areas after segregation, next we introduce Geometric envelop theorem and multiple-resolution algorithm. Among the input large-scale 3D generated images, we gain estimation of illuminate images so that the reflection coefficient can be acquired. And we apply the principle of image pyramid of multiple-resolution algorithm to conduct overall optimization. The simulated experiment proves that this optimized algorithm, in comparison with traditional algorithm, has strengthened effect on images.

3D Image Enhancement Model for Large-scale Scene Based on Improved Retinex Algorithm