Research on improved sharpening algorithm based on closed operation and binarization

In this paper, binarization and closed operation are used to improve traditional sharpening algorithms. Aiming at the problem that traditional sharpening algorithm tends to sharpen noise when processing pictures. First of all, this paper eliminates noise through binarization, and then uses morphological closed operation to fill the cavities generated by noise. Finally, the Sobel operator is used to detect the edge of the image, which is superimposed with the original image and simulated on matlab. The simulation result shows that the improved sharpening algorithm based on binarization and closed operation can not only sharpen the edges of the image, but also not sharpen the noise. The innovation of this paper is to make the image sharpening effect better than traditional phase algorithm.