On wavelets applications in medical image denoising

Authors:
I. El-Henawy;T. El-Areef;A. A. Karawia
Affiliations:
Faculty of Science, Mansoura University, Egypt;Ain Shams University, Faculty of Computer and Information Sciences;Faculty of Science, Mansoura University, Egypt
Venue:
Machine Graphics & Vision International Journal
Year:
2003

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Abstract

An important application domain of the wavelet theory is denoising. In this paper, we use the wavelet transforms to denoise the medical images. There are many kinds of noise and we study only three types i) additive random noise, ii) pop noise and iii) localized random noise. Further, we use Root Mean Square Error(RMSE) and Signal to Noise Ratio (SNR) to measure the error between a noisy image and the original image.