A De-Nosing Algorithm of Wavelet Threshold Based on Efficient Threshold Function
| Autor: | Zhi Ping Wan, Wei Chuan Ni, Bai Hui Zhu |
|---|---|
| Rok vydání: | 2013 |
| Předmět: |
Discrete wavelet transform
business.industry Computer science Second-generation wavelet transform Stationary wavelet transform ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION General Engineering Wavelet transform Cascade algorithm Wavelet packet decomposition Wavelet Computer vision Artificial intelligence business Algorithm Image restoration Continuous wavelet transform |
| Zdroj: | Advanced Materials Research. 709:624-627 |
| ISSN: | 1662-8985 |
| DOI: | 10.4028/www.scientific.net/amr.709.624 |
| Popis: | Image digitization and transmission process often subject to outside interference that was easy to let the image turn into de-noising image; General de-noising was easy made the image details blurred. Against the phenomenon, this paper using "mathematical microscope" said with wavelet transform, and according to the inherent characteristics of the human eye's visual. Put a new optimize the scan mode of the wavelet coefficients, and proposes a new threshold de-noising algorithm. At last, decrease the overhead of unnecessary coding algorithm; simplified scanning path to reduce，decrease encoding time and improve de-noising ability to effect, making the algorithm de-noising while protecting image details; Tests showed that the research to achieve the purpose of the above study and stability de-noising advantage. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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