Optics and Precision Engineering, Volume. 17, Issue 4, 916(2009)
Dual-tree complex wavelet image denoising based on parental and neighboring coefficients
By considering the advantages of the 2D Dual Tree Complex Wavelet Transfer(DTCWT) in shift invariance and directionality,a threshold denoising formula based on parental and neighboring coefficients is constituted and a novel Parental and Neighboring DTCWT(PNDTCWT) image denoising method is presented.By proposed method,the shrinkage threshold of each coefficient is calculated to use in denoising for the current coefficient.After 2D DTCWT transfer to an original image,the final image is obtained by the inverse DTCWT of these denoised coefficients.Experimental results show that the denoising performance of the PNDTCWT is better than those of other denoising methods based on DWT or other DTCWT methods,and its Peak Signal Noise Ratios(PSNRs) have improves by 0.5 dB averagely as compared with that of parental coefficients based DTCWT denoising method.In terms of visual quality,PNDTCWT can get the images with more details, smooth profiles and without confusion effect.
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LU Gang, YAN Jing-wen, KOU Ye-quan, ZHANG Jian-zhong. Dual-tree complex wavelet image denoising based on parental and neighboring coefficients[J]. Optics and Precision Engineering, 2009, 17(4): 916
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Received: Nov. 11, 2008
Accepted: --
Published Online: Oct. 28, 2009
The Author Email: Gang LU (lugang518@126.com)
CSTR:32186.14.