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Edge-Preserving Median Filter and Weighted Coding with Sparse Nonlocal Regularization for Low-Dose CT Image Denoising Algorithm
- Source :
- Journal of Healthcare Engineering, Vol 2021 (2021), Journal of Healthcare Engineering
- Publication Year :
- 2021
- Publisher :
- Hindawi Limited, 2021.
-
Abstract
- The impulse noise in CT image was removed based on edge-preserving median filter algorithm. The sparse nonlocal regularization algorithm weighted coding was used to remove the impulse noise and Gaussian noise in the mixed noise, and the peak signal-to-noise ratio (PSNR) and structural similarity index (SSIM) were calculated to evaluate the quality of the denoised CT image. It was found that in nine different proportions of Gaussian noise and salt-and-pepper noise in Shepp-Logan image and CT image processing, the PSNR and SSIM values of the proposed denoising algorithm based on edge-preserving median filter (EP median filter) and weighted encoding with sparse nonlocal regularization (WESNR) were significantly higher than those of using EP median filter and WESNR alone. It was shown that the weighted coding algorithm based on edge-preserving median filtering and sparse nonlocal regularization had potential application value in low-dose CT image denoising.
- Subjects :
- Medicine (General)
Article Subject
Normal Distribution
Biomedical Engineering
Health Informatics
Image processing
02 engineering and technology
Signal-To-Noise Ratio
Impulse noise
Regularization (mathematics)
030218 nuclear medicine & medical imaging
Image (mathematics)
03 medical and health sciences
symbols.namesake
0302 clinical medicine
R5-920
Encoding (memory)
Image Processing, Computer-Assisted
0202 electrical engineering, electronic engineering, information engineering
Median filter
Medical technology
Humans
R855-855.5
Mathematics
Noise
Gaussian noise
Computer Science::Computer Vision and Pattern Recognition
symbols
020201 artificial intelligence & image processing
Surgery
Tomography, X-Ray Computed
Algorithm
Algorithms
Research Article
Biotechnology
Subjects
Details
- Language :
- English
- ISSN :
- 20402309 and 20402295
- Volume :
- 2021
- Database :
- OpenAIRE
- Journal :
- Journal of Healthcare Engineering
- Accession number :
- edsair.doi.dedup.....beffacd89d1c494e8e83f1e0f5b7a4c9