CDF 9/7 Wavelet Transform Matlab script

Publisher review:
CDF 9/7 Wavelet Transform - Easy function performs wavelet transforms on images with CDF 9/7 wavelet. This self-contained M-function applies the Cohen-Daubechies-Feauveau 9/7 (CDF 9/7) wavelet transform--no toolboxes required. CDF 9/7 is an especially effective biorthogonal wavelet, used by the FBI for fingerprint compression and selected for the JPEG2000 standard.Example usage:% Perform a 5-stage forward transform on XY = waveletcdf97(X, 5);% Inverse transform to recover X from YR = waveletcdf97(Y, -5); The input array X may be of any size; arbitrary-length transforms are supported. For example, if X has length 9, one stage of decomposition produces a lowpass subband of length 5 and a highpass subband of length 4. Transforms of any length have perfect reconstruction (exact inversion). If X is a matrix, waveletcdf97 performs a (tensor) 2D wavelet transform. If X has three dimensions, the 2D transform is applied along the first two dimensions. Requirements: · MATLAB Release: R11
Operating system:
Windows / Linux / Mac OS / BSD / Solaris

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