help me in the code for image fusion using wavelet based principle component analysis

image fusion using wavelet transform is done with wavelet based PCA

Answer 1

[Wayne King]

There is function in the Wavelet Toolbox for image fusion, wfusimg, and a demo, imagefusiondemo.m, but it does not use a wavelet-based PCA.

There also is a wavelet PCA routine, wmspca, but that is designed for multisignal analysis, i.e. each column vector is a 1-D signal and not on images.

[pradnya mirajkar]

wmpca is for multiscale PCA. but i want wavelet based PCA.

[Megha S Kumar]

Hi, i am trying to implement wmspca inbuilt function step by step and compare it with eigen vectors in Wavelet Analyzer app also. when i input a 1024 x 4 signal matrix and apply 5 level dwt on each column. If i choose 1 principal component how can i reconstruct using inverse dwt as wavelet coefficients length and eigen vector lengths are totally different?.

Any help is appreciated. Thanks in advance.