Salt-and-Pepper Noise Elimination in Medical Image Based on Median Filter Method
Removing salt-and-pepper noise in medical images plays a very important role for the pre-processing of medical
images. An adaptive median filter is implemented, and the effectiveness on denoising is evaluated by PSNR, MSE, UQI and
SSIM noise to original image. Analyze the influence of the filter window size and the density of noise on the quality of
denoised image also. Simulation results based on Matlab show that this method can eliminate the salt-and-pepper noise in
ultrasound medical image and preserve the edges and detail information of the objects. This method has been used in the
virtual endoscope system, and the filtering performance is very satisfactory.