In order to realize OCT (Optical Coherence Tomography) image denoising

an image denoising method is proposed and its applied algorithms such as Wiener filtering and contrast enhancement. First

analyzed the OCT image noise

then proposed an multi-scale Wiener filtering algorithm based on character of noise in the image. The method denoises OCT image gradually by different Wiener filter template. Finally

the contrast enhancement based on the character of the different areas is used to strengthen the image information. Experiment results demonstrate that the algorithm enhances OCT image the value of the signal to noise ratio with the background variance (BV) of the processed image was higher 3-7 times than the original image

and the value of DV/BV was higher 3-6 times

It can get the conclusion that the method denoised OCT image with good visual effect

and it is a effective image processing method.