Research of Image Denoising Method with Immune Mechanism

Aiming at denoising image more effectively, an image denoising method based on immune mechanism is proposed. It removes the noise by means of simulating the information processing mechanism correlated to the antibody and antigen in biological immune system. On the one hand, the inhibition between the central pixel and its neighborhood pixels within a certain range is considered. On the other hand, involving the simulation interconnected the central pixel with the others outside the neighborhood range, and then in virtue of the combination of the above two aspects and the weighted calculation as well, a nice denoised image can be obtained by means of estimating the pixel gray. Compared with other methods, the contrast experiment results indicate that the proposed approach can get higher PSNR and ENL with better visual quality, and reduce noise more effectively as well as preserve image detail information very well. It provides a new way and gives an important reference value for future research of image denoising.