how lifting wavelet transform used to enhance the spatial resolution of the image,explain the basics for the same.

lshaar = liftwave('db1');

 % Add a primal ELS to the lifting scheme.
 els = {'p',[-0.125 0.125],0};
 lsnew = addlift(lshaar,els);

 % Perform LWT at level 1 of a simple image.
 x = reshape(1:16,4,4);
 [cA1,cH1,cV1,cD1] = lwt2(double(I),lsnew);

 iwt_out=[cA1 cH1;cV1 cD1];
 iwt_out=uint8(iwt_out);

Answer 1

[Wayne King]

What specifically is your question here? The code you have included above will not run because you have not given us I.

You've started off with a Haar wavelet and then added a primal lifting step. This has created a new biorthogonal wavelet filter bank with lowpass analysis and sythesis filters:

   0.7071     0.7071
  -0.1768     0.1768    0.8839    0.5303

and highpass analysis and synthesis filters

   0.1768     0.1768   -0.8839    0.5303
   0.7071    -0.7071

You've then obtained the discrete wavelet transform at level 1.