A novel specular highlight restoration algorithm has been proposed to remove the specular highlight in a real-time vision system. In this paper, the specular highlight region has been detected and it has been restored by image inpainting method. Most of specular highlight detection algorithms are effective only for a single image. And the auto-threshold algorithm has been implemented in real time, but, it has still low reliability with a heavy computational cost. The proposed system detects pixels corresponding to the specular highlight region in the HSI color space through a newly defined classification table. So, Specular highlight can be detected quickly with these simplified classification table. In addition, it has versatility because it can be combined with various existing high-performance image inpainting method. The superiority of the proposed algorithm is compared with the conventional specular highlight removal algorithm by combining proposed algorithm with two high-performance image inpainting techniques.

提出了一种新颖的镜面反射高光恢复算法，以去除实时视觉系统中的镜面反射高光。本文检测出镜面高光区域，并通过图像修复方法对其进行了修复。大多数镜面高光检测算法仅对单个图像有效。并且自动阈值算法已经被实时实现，但是它仍然具有较低的可靠性和沉重的计算成本。所提出的系统通过新定义的分类表来检测与HSI颜色空间中的镜面高光区域相对应的像素。因此，使用这些简化的分类表可以快速检测出镜面高光。此外，它具有多功能性，因为它可以与各种现有的高性能图像修复方法结合使用。