Abstract:

In order to preserve more image details information while image denoising, the function of the fractional order integral operator in signal processing is described, and the fractional integral theory is introduced into the digital image denoising. The proposed method constructs the corresponding mask of image denoising by setting a smaller fractional order and controls the effect of image denoising by the way of iteration, so it achieves the local finetuning of image denoising. The experimental results show that compared with the traditional image denoising algorithm, the proposed image denoising algorithm based on fractional order integral can not only enhance the signal to noise ratio of images but also better retain the edge and texture details information of images.