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- W2387133027 abstract "Edge information is the important detail information of image,and protecting the edge information is very important for improving image quality.Unfortunately,image de-noising is often followed by destroying the edge information.To remove noise and protect edge information,a new threshold de-noising algorithm combining the local hard-thresholding with soft-thresholding,based on dual tree complex wavelet transform(DT-CWT) and image fusion is presented.Considering the characteristic of the local hard-thresholding and soft-thresholding and making use of the advantages of DT-CWT and image fusion,the first step is to carry out natural logarithm transform which is followed by DT-CWT.After DT-CWT,the coefficients are processed by local hard-thresholding and soft-thresholding,respectively.At last,the noise free image is obtained by implementing image fusion,dual tree complex wavelet inverse transform and exponent transform.Experimental results show that this algorithm can fuse the advantages of the two methods and provide significant improvement over conventional image de-noising methods in terms of the ability of de-noising and protecting edge information." @default.
- W2387133027 created "2016-06-24" @default.
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- W2387133027 date "2009-01-01" @default.
- W2387133027 modified "2023-09-26" @default.
- W2387133027 title "SAR Image De-Noising Algorithm Based on Dual-Tree Complex Wavelet Domain Image Fusion" @default.
- W2387133027 hasPublicationYear "2009" @default.
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