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De-noising analysis of mammogram images in the wavelet domain using hard and soft thresholding

Anwar Lashari, Saima and Ibrahim, Rosziati (2014) De-noising analysis of mammogram images in the wavelet domain using hard and soft thresholding. In: 2014 4th World Congress on Information and Communication Technologies (WICT 2014) Date of Conference.

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Abstract

The noisy nature of digital mammograms and low contrast of suspicious areas which make medical images de-noising a challenging problem. Therefore, image de-noising is an important task in image processing, thus the use of wavelet transform provides better and improved quality of an image and reduces noise level. For medical images, many wavelets like db1, sym8, coif1, coif3 etc can be used for denoising of a medical image. However, in this paper, haar, sym8 daubechies db3 (mallat), daubechies db4 at certain level of soft and hard threshold have been calculated. Later, peak signal to noise ratio (PSNR) values are calculated for these wavelet methods. These experiments help to select the best wavelet transform for the de-noising of particular medical images such as mammogram images.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Wavelet de-noising; hard thresholding; soft thresholding; peak signal-to-noise ratio.
Subjects: T Technology > T Technology (General)
Depositing User: Mr Abdul Rahim Mat Radzuan
Date Deposited: 02 Feb 2020 04:02
Last Modified: 02 Feb 2020 04:02
URI: http://eprints.uthm.edu.my/id/eprint/12090
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