On wavelets applications in medical image denoising

• Autorzy: El-Henawy I. , El-Areef T. , Karawia A. A.
• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

wavelet transform; noise modelling; image processing

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2003
• Tom: Vol. 12, No. 3
• Strony: 393--404
• Opis fizyczny: Bibliogr. 14 poz., rys., tab

Twórcy

autor

El-Henawy I.

• Faculty of Science, Mansoura University, Egypt

autor

El-Areef T.

• Ain Shams Universuty, Faculty of Computer and Information Sciences

autor

Karawia A. A.

• Faculty of Science, Mansoura University, Egypt

Bibliografia

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