How to perform 2 level dwt using haar wavelet, without the haart() function?

I tried using the dwt2 function twice- first on original image and then on the LL subband obtained. However, this gives an incorrect result when the second decomposition results are obtained ( the first level seems fine) and I am not sure if it is conceptualy right either. The code is as below

 %read and resize the original image

   img=imread('download.jpg');

   img=imresize(img,[256 256]);

 %extract the R component from original image

   red=img(:,:,1);

 %creating zero matrix of size of original image

   x=zeros(size(img,1),size(img,2));

 %create matrices to display R component 

   or=cat(3,red,x,x);

 %Applying first level of DWT on original R components

   [LLor, LHor, HLor, HHor] = dwt2(im2double(or), 'haar');

 %Applying second level of DWT on LL component original 

   [LLor2, LHor2, HLor2, HHor2] = dwt2(im2double(LLor), 'haar');

 %displaying 2 level DWT results

   figure,imshow([LLor2 LHor2; HLor2 HHor2], [])

Hence i used the wavedec2 function for multilevel decomposition, but then the resultant subbands I obtain are displayed as blank white image. The code I tried for it is what I got from https://in.mathworks.com/help/wavelet/ref/wavedec2.html

 %Apply 2 level dwt on original

   [co,so]=wavedec2(img,2,'haar');

   [h1,v1,d1]=detcoef2('all',co,so,1);
   a1=appcoef2(co,so,'haar',1);

   v1img=wcodemat(v1,255,'mat',1);

   [h2,v2,d2]=detcoef2('all',co,so,2);

   a2=appcoef2(co,so,'haar',2);

   v2img=wcodemat(v2,255,'mat',1);

   figure,imshow(a1img)

   figure,imshow(v1img)

I have tried searching for a solution online but to no avail. Also, I am new to matlab and image processing and hence may have overlooked some minute details. Any help would be greatly appreaciated. Thanks!