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Can I read Medical Image Denoising with Wiener Filter and High Boost Filtering on EtoBox?
Medical Image Denoising with Wiener Filter and High Boost Filtering by Nada Jasim Habeeb is a Mathematics article available to read on EtoBox.
What is Medical Image Denoising with Wiener Filter and High Boost Filtering about?
The Wiener filter is widely used in image de-noising. It is used to reduce Gaussian noise. Although the Wiener filter removes noise from the image, it causes a loss of edge detail information, resulting in blurring of the image. The edge details are considered high-frequency components. The Wiener filter is unable to reconstruct these components. In this paper, the proposed filter based on the Wiener filter and the high-boost filter for medical images is presented. The proposed filter is applied to the degraded image. First, using Fourier Transformation, the degraded image and the high boost filter are converted in the frequency domain. Secondly, the wiener filter is applied to the image along with the high boost filter. Thirdly, the deconvolution process is achieved on the image with the high boost filter. Finally, to reconstruct the sharper image in the spatial domain, the inverse of the Fourier transformation is applied. The proposed filter works to suppress the additive noise at the same time. It can keep the image's edge details. Some focus operators are used, which are image contrast, gradient energy, histogram entropy, and spatial frequency, in order to test the proposed alg
Who reads Medical Image Denoising with Wiener Filter and High Boost Filtering?
It is typically read by researchers, students, and practitioners in Mathematics.
- Author
- Nada Jasim Habeeb
- Publisher
- University of Baghdad College of Science
- Published
- 2023
- Language
- EN
- Field
- Mathematics (Physical Sciences)