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A New Local Adaptive Wavelet Image De-noising Method
- Source :
- 2011 International Symposium on Computer Science and Society.
- Publication Year :
- 2011
- Publisher :
- IEEE, 2011.
-
Abstract
- In order to improve the signal to noise ratio of image, a local adaptive Wiener filter in wavelet domain is applied to a 2-D image. Several 1-D windows could be constructed on the direction character of sub-image in the filter window after wavelet transform. Then the adaptive filters could be obtained from the 1-D windows. With the effective weighted combination of filters in different 1-Dwindows, the sub-image local adaptive filters are generated. And the simulation of the adaptive filter shows it could remove the white noise of image and preserve the edge of images effectively.
- Subjects :
- business.industry
Computer science
Stationary wavelet transform
Second-generation wavelet transform
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Wavelet transform
Pattern recognition
Non-local means
Composite image filter
Wavelet packet decomposition
Adaptive filter
Computer Science::Computer Vision and Pattern Recognition
Kernel adaptive filter
Artificial intelligence
business
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2011 International Symposium on Computer Science and Society
- Accession number :
- edsair.doi...........4d6c782679bf5295534422bad82e2160