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On wavelets applications in medical image denoising

El-Henawy I., El-Areef T., Karawia A. A.

Machine Graphics and Vision

2003

Vol. 12, No. 3

393-404

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.