IBRAHIM ABDULAI SAWANEH
DIRECTOR OF ACADEMIC AFFAIRS - IAMTECH
AUTHOR: IBRAHIM ABDULAI SAWANEH, DIRECTOR OF ACADEMIC AFFAIRS AT THE INSTITUTION OF ADVANCED MANAGEMENT AND TECHNOLOGY - IAMTECH
19th December, 2018
ABSTRACT
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.
KEYWORDS
Discrete Wavelet Transform, Medical Images, De-Noising, 2D Wavelet, Image Compression.
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