A Modified Wavelet Threshold Approach for Reducing Various Noise with Statistical Results

Different types of noise play a role in reducing the details of the images and blur the features which are important in many purposes. Physical and medical images are fractal in nature and especially the ones that are taken from experiments related to a medical field. This work investigates several noise reduction methods and reducing the fractional Brownian motion noise in physical and medical images using a modified wavelet threshold approach. The performance of this approach is analyzed and compared with some other approaches by using PSNR (Peak Signal to Noise Ratio), MSE (Mean Square Error), and other criteria for the validity of the method.