In order to deal with that most traditional highlight removal algorithms based on an illumination model fail to perform well on those images which have saturated pixels

this paper presents an inpainting algorithm guided by saliency detection. First

we apply the saliency model to the YUV space to detect and mark the highlight areas automatically. Then

we inpaint the highlight areas marked by the saliency model with the modified self-adaptive Exemplar-Based algorithm. We test on natural scene and emulational images

experimental results demonstrate that compared with the classic image inpainting and highlight removal algorithms

the results of the proposed method are more nature and have better image quality. Compared with Exemplar-based and Tan algorithms

the proposed method performs better on dealing with a single image in which the highlight areas are saturated and is not limited by the illumination model.