<abstract xmlns="http://www.w3.org/1999/xhtml"><p>This paper mainly proposed and researched based on wavelet transform, and then used the X-map denoising technique of value filter. In other words, the value image was filtered in the spatial domain, and the value filtering was used as the standard pulse (salt) noise, also used as in the wavelet domain. After the filtered image was decomposed by biorthogonal double wavelet transform, a wavelet coefficient matrix was generated, and a soft threshold quantisation process was performed on the wavelet coefficients to produce a new wavelet coefficient matrix. In the end, they used a new wavelet coefficient matrix for image reconstruction. The processing resulted that the denoising method proposed in this paper showed that the X image can be denoised, which not only reduced the X-picture-like noise but also preserved the X-picture-like details as much as possible. It also helped to enhance diagnostic accuracy and reduced the difference in reading.</p></abstract>

This paper mainly proposed and researched based on wavelet transform, and then used the X-map denoising technique of value filter. In other words, the value image was filtered in the spatial domain, and the value filtering was used as the standard pulse (salt) noise, also used as in the wavelet domain. After the filtered image was decomposed by biorthogonal double wavelet transform, a wavelet coefficient matrix was generated, and a soft threshold quantisation process was performed on the wavelet coefficients to produce a new wavelet coefficient matrix. In the end, they used a new wavelet coefficient matrix for image reconstruction. The processing resulted that the denoising method proposed in this paper showed that the X image can be denoised, which not only reduced the X-picture-like noise but also preserved the X-picture-like details as much as possible. It also helped to enhance diagnostic accuracy and reduced the difference in reading.

X-ray image denoising based on wavelet transform and median filter

Department of Computer and Information Engineering

Department of Mathematics and Computer Science

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

{"article-title":"X-ray image denoising based on wavelet transform and median filter"}

This paper mainly proposed and researched based on wavelet transform, and then used the X-map denoising technique of value filter. In other words, the value...

X-ray image denoising based on wavelet transform and median filter

Published Online: Dec 21, 2020

Page range: 435 - 442

Received: Jun 06, 2020

Accepted: Aug 14, 2020

DOI: https://doi.org/10.2478/amns.2020.2.00062

Keywords
image denoising, median filter, wavelet transforms

© 2020 Hanlei Dong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

X-ray image denoising based on wavelet transform and median filter

Published Online: Dec 21, 2020

Page range: 435 - 442

Received: Jun 06, 2020

Accepted: Aug 14, 2020

DOI: https://doi.org/10.2478/amns.2020.2.00062

Keywordsimage denoising, median filter, wavelet transforms

© 2020 Hanlei Dong et al., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Keywords
image denoising, median filter, wavelet transforms