A Modified Algorithm for Denoising Mri Images of Lungs using Discrete Wavelate Transform
Yogesh Bahendwar, Ganesh Ram Sinha · IJCA Proceedings on National Conference on Innovative Paradigms in Engineering and Technology (NCIPET 2012) · 2012
Image de-noising has become an essential exercise in medical imaging especially the Magnetic Resonance Imaging (MRI). The classical problem in the field of biomedical signal or image processing is the de-noising of image naturally corrupted by noise. Additive random noise can easily be removed using simple threshold methods. This paper proposes a medical image denoising algorithm using Discrete Wavelet Transform (DWT). Numerical results show that the algorithm can obtained higher peak signal to noise ratio (PSNR) through wavelet based denoising algorithm for MR images corrupted with random noise. INDEX TERM Biomedical Image Processing, De-noising, DWT, MRI, Thresholding, Random Noise. PSNR, MAE (mean absolute error) and MSE(mean square error).