: Specular detection and removal has been a hot topic in the field of computer vision． Most of the existing methods are for color images，but grayscale images are widely used，for a single grayscale image with only intensity information，specular detection and removal becomes a difficult issue. In this paper，a simple specular detection method of single grayscale image is proposed. Intensity-Saturation ( MS) diagram method is improved and the distribution of diffuse component and specular component is used to obtain high brightness range. Possible specular area is detected with proportion. Finally，BSCB model-based the image restoration method removal highlights. Experimental results show that specular detection algorithm can better deal with the details of specular areas，find specular reflection area effectively in the single grayscale image and improve the repair rate specular areas of the image.