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Iterative Regularization Denoising Method Based on OSV Model for BioMedical Image Denoising
- Source :
- Journal of Physics: Conference Series. 277:012005
- Publication Year :
- 2011
- Publisher :
- IOP Publishing, 2011.
-
Abstract
- Biomedical image denoising algorithm based on gradient dependent energy functional often compromised the biomedical image features like textures or certain details. This paper proposes an iterative regularization denoising method based on OSV model for biomedical image denoising. By using iterative regularization, the oscillating patterns of texture and detail are added back to fit and compute the original OSV model,and the iterative behavior avoids overfull smoothing while denoising the features of textures and details to a certain extent. In addition, the iterative procedure is proposed in this paper, and the proposed algorithm also be proved the convergence property. Experimental results show that the proposed method can achieve a batter result in preserving not only the features of textures for biomedical image denoising but also the details for biomedical image.
- Subjects :
- History
business.industry
Noise reduction
Denoising algorithm
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Biomedical image
Total variation denoising
Non-local means
Regularization (mathematics)
Computer Science Applications
Education
Computer Science::Computer Vision and Pattern Recognition
Computer vision
Artificial intelligence
business
Algorithm
Smoothing
ComputingMethodologies_COMPUTERGRAPHICS
Mathematics
Energy functional
Subjects
Details
- ISSN :
- 17426596
- Volume :
- 277
- Database :
- OpenAIRE
- Journal :
- Journal of Physics: Conference Series
- Accession number :
- edsair.doi...........a66f8eb024579d0ad4106f6b7aa5dd90