ResearchBib Share Your Research, Maximize Your Social Impacts
Sign for Notice Everyday Sign up >> Login

Medical Image De-noising and Compression via a 2-D Wavelet Transform

Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.7, No. 6)

Publication Date:

Authors : ;

Page : 23-30

Keywords : Discrete Wavelet Transform; Medical Images; De-Noising; 2D Wavelet; Image Compression;

Source : Downloadexternal Find it from : Google Scholarexternal


Medical Images generally exhibits high level artefacts called noise. De-noising a medical image is essential in medical field. Transmitting medical image over the internet needs to be compressed and also remove noise to produce excellent result that can be easily viewed and interpreted by medical professionals. Wavelet transform enhances the superiority of an image and reduces noise level that is been transmitted. The image to be process is loaded and decomposed into level 3 using wavelet type known as biorthogonal via 2D wavelet transform. Furthermore, soft threshold is chosen to reduce the noise in the image. Unlike, hard threshold is an opposite of soft thresholding. Soft thresholding minimizes the coefficients above the threshold value. Medical image compression & de-noising using wavelet-based decomposition without discarding image originality describes horizontal, vertical and diagonal details of the image.

Last modified: 2018-06-20 15:34:24