[1] DENG CH,ZHANG T,YAO Q H.Application of wavelet neural network in removing CCD noise of digital images[J]. Opt. Precision Eng. ,2008,26(2):345-351.(in Chinese)
[5] KINGSBURY N G.Complex wavelets for shift invariant analysis and filtering of signals [J]. Applied and Computational Harmonic Analysis,2002,10(3):234-253.
[6] SELESNICK I W. The Double-Density Dual-Tree DWT [J]. IEEE Transactions on Signal Processing,2004,52(5):1304-1314.
[7] SENDUR L,SELESNICK I W. Bivariate shrinkage functions for wavelet-based denoising exploiting interscale dependency [J]. IEEE Transactions on Signal Processing,2002,50(11):2744-2756.
[8] LI P,YU G,JI X Y,et al.. Denoising of ultrasonic image via double density dual tree wavelet combined with bivariate shrinkage with local variance estimation[J]. Journal of System Simulation,2007,19(24):5797-5801.(in Chinese)
[9] LUISIER F,BLU T,UNSER M. A New SURE Approach to image denoising: interscale orthonormal wavelet thresholding [J]. IEEE Transactions on Image Processing,2007,16(3):593-606.
[10] SHUI P L. Image denoising algorithm via doubly local Wiener filtering with directional windows in wavelet domain,[J]. IEEE Signal Processing Letters,2005,12(10):681-684.
[11] SELESNICK I W. The Double Density DWT [M]. Boston: Kluwer,2001.
[12] LI J T,NI G Q,WANG Q. Complex wavelet transform and bivariate shrink threshold based image denoising [J].Optical Technique,2007,33(5):723-727,730.(in Chinese)
[13] WANG ZH,BOVIK A C,Sheikh H R,et al.. Image quality assessment :from error visibility to structural similarity [J]. IEEE Transactions on Image Processing,2004,13(4):600-612.
[14] NALLAPERUMAL K,VINSLEY S S,CHRISTOPHER S,et al.. A novel adaptive weighted color interpolation algorithm for single sensor digital camera images [C]. International Conference on Computational Intelligence and Multimedia Applications,2007: 477-481