Objective: Several de-noising methods for medical images have been applied such as Wavelet Transform,
CNN, linear and Non-linear method.
Methods: In this paper, a median filter algorithm will be modified and explain the image de-noising to wavelet transform
and Non-local means (NLM), deep convolutional neural network (DnCNN) and Gaussian noise and Salt and pepper noise
used in the medical skin image.
Results: PSNR values of CNN methods is higher and better than to others filters (Adaptive Wiener filter, Median filter
and Adaptive Median filter, Wiener filter).
Conclusion: De-noising methods performance with indices SSIM, PSNR and MSE are tested and survey the result of
simulation image de-noising.