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Denoising Algorithm for Jacquard Image Using Beltrami Manifold Technique
- Source :
- 2009 Third International Symposium on Intelligent Information Technology Application.
- Publication Year :
- 2009
- Publisher :
- IEEE, 2009.
-
Abstract
- Jacquard image denoising is an active research field in jacquard image processing and has attracted much attention in the past years. In this paper, we present a novel denoising algorithm within the framework of variational schemes and Beltrami manifold technique. Variational schemes for image denoising consist of minimizing a functional which incorporates both the data and a Beltrami flow term. The main advantage of the proposed algorithm is that it has both good noise reduction and edge protection capabilities. Experimental results show that the proposed method offers effective noise removal in real noisy jacquard images while maintaining fine structure of patterns.
- Subjects :
- business.industry
Noise reduction
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Nonlinear dimensionality reduction
Image processing
Non-local means
Manifold
Field (computer science)
Image (mathematics)
Computer Science::Computer Vision and Pattern Recognition
Video denoising
Computer vision
Artificial intelligence
business
Mathematics
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2009 Third International Symposium on Intelligent Information Technology Application
- Accession number :
- edsair.doi...........7005e27b9ac2ca8a0da5d05d56d539f4