6Chang S G,Yu B,Vetterli M. Adaptive wavelet thresholding for image denoising and compression[J].IEEE Transactions on Im- age Processing,2000,(09):1532-1546.
9Guanghong He, Yingjun Pan, Wei Jin. An Improved Image Denoising Method Based on Multi- Scale Correlation in Wavelet Demain[C).8th international eotfferenee on signal processing proceoding, 2006, Val Ⅱ of IV, 1322 - 1325.
10Bovike A. Handbook of image and video processing[M]. Academic Press, 2000.
1H. Xie, L. Pierce, and F.T. Uhdv. Statist al properties of lcGithmically tramsfonnedl speckle[ J ]. IEEE Trans. Geosci. Remote Sens, 2002, dO(3 ) : 721 - 727.
2T. Tatizen. Princilml neighlN)rh(xxl dictionaries for nonhx'al means inmge denoising[ J ]. FEE Tranctions on Image Pr(x.esing, 2009, 18 (12):2649- 2660.
3M. NiklJur, H. Hassanpour. Using hflhsion equations for improving perfrmanee f wavelet - bat image denoising techniques [ J]. lET Image Processing, 2010,4(6) :452 - 462.
4S. Chang, B. Yu, M. Vettei'li. Adam*tire wavelet thresholding for image denoising and compression [ J ]. IEEE Transactions on hnage Processing, 2000,9 (9) : 1532 - 1546.
5Nasir Rajipoot, IrfanButt. A multiresolution frunework for local simihu'ily based image denoising [ J ]. Pattem Recoognition, 2012, ( 45 ) : 2938 -2951.
6R. Grilbnvd. M. Nielsen. Spmrse approximations in signal mid image ptocessing[ J ]. Signal Ptocessing, 2006, B6( 2, ) : dl 5 - 416.
7M. Protter, M. Elad. hnage seluence denoising via sparse and redundanl represenlalions[ J ]. I EEE Trmlsaclions on Image Pnecing, 2009, 18 (1):27-35.
8M. ElM, M. Ahamn. Image denoising via spruce md redundmlt represenlalions over letmll dictionm'ies [ J]. IEF, IEEEransalions on lnuNe Prx.essing, 2006, 15(12) :3736 - 3745.
9Jankd Saheedi, Mohanullad Ho.,m Moidi und Karim Faez. A New Wavelet- Iased Ftuzzy Single mid Multi - chmmel hnage Denoising [J].Image and Visiun Computing,2010, (28) : 1611 - 1623.