Denoising of SAR Images Based on Wavelet Packet
| Autor: | Xi-Chuan Liu, Chao-ling Shen, Yun-xian Huang, Wei-hua Ai |
|---|---|
| Rok vydání: | 2009 |
| Předmět: |
Synthetic aperture radar
business.industry Noise reduction Second-generation wavelet transform Stationary wavelet transform Multiresolution analysis ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Wavelet transform Pattern recognition Data_CODINGANDINFORMATIONTHEORY Wavelet packet decomposition Wavelet Computer vision Artificial intelligence business Mathematics |
| Zdroj: | 2009 2nd International Congress on Image and Signal Processing. |
| DOI: | 10.1109/cisp.2009.5301438 |
| Popis: | The SAR remote sensing images are interfered by noises during the detection and transmission, a method based on wavelet packet and level dependent adaptive threshold is proposed in this paper. By using this method, the SAR images can be decomposed in a more elaborate method compared to the traditional wavelet transform, and the noises in the SAR images are eliminated by the adaptive threshold method. The experiment results show that this method can reduce the noises efficiently; The PSNR and the subjective vision of the results have better performances than the result of traditional wavelet transform method. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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