An image inpainting algorithm based on improved Laplace operator and cartoon component was proposed in this paper. First

by solving the anisotropic diffusion equation

the cartoon component of the image is obtained. The Gauss low pass filter is coupled with the Laplace operator to generate an improved Laplace operator

the improved Laplace operator combined with the cartoon component

the detection equation of the illumination line is established. Then

dynamic sampling mechanism is used to set up the sample area in order to improve the efficiency of the algorithm. Finally

the normalized root mean square function is established to measure the similarity between the target block and the candidate block

and to complete the image restoration. The experimental results show that: compared with the control group

this algorithm had better visual effect and effectively reduces the blurring effect in inpainting of the complex texture image.