학술논문
Efficient Denoising of Multi-modal Medical Image using Wavelet Transform and Singular Value Decomposition
Document Type
Conference
Author
Source
2023 IEEE IAS Global Conference on Emerging Technologies (GlobConET) Emerging Technologies (GlobConET), 2023 IEEE IAS Global Conference on. :1-6 May, 2023
Subject
Language
Abstract
Medical image denoising is a key step for reconstructing a high-quality image in image processing. Noises like Gaussian, Speckle etc. usually degrades the medical images while acquiring, transferring, and recovering from storing devices. So, research for an effective denoising techniques having high Peak Signal-Noise Ratio (PSNR) and low Mean Square Error (MSE) values is still going on. Wavelet Transform (WT) and Singular Value Decomposition (SVD) are powerful methods for removal of noise. In this paper, medical images like X-ray, CT and ultrasound images are used for experimentation. Noises like Gaussian and Speckle are applied on multi-modal images and denoised by SVD or wavelet transform. Denoising results of WT and SVD are compared on the basis of MSE and PSNR.