how divide image to blocks?

I want to divided image to non-overlapping blocks, then I will appliy DWT on each block

can any one help me with this please

Answer 1

[Image Analyst]

This is a FAQ, so See the FAQ

I recommend blockproc as the best for what you want to do. I'm attaching demos for non-overlapping blocks.

[Mohammed Kassem]

how to perform DWT on each block of image using (blockproc)

i dont need the standard deviation can you help me please

thanks.

[Image Analyst]

Use the demo where I write my own custom function to process each block. You can do whatever you want in that function, including DWT or anything else.

[Mohammed Kassem]

Thanks for your efforts i have changed the function as

I = imread('pears.png');

fun = @(block_struct)...
    dwt2(block_struct.data,'dmey');

C = blockproc(I,[64 64],fun);

but i got no out put and no errors

so how i can access the [cA,cH,cV,cD] of dwt2 if the above code is true

[Image Analyst]

I can't help you with the wavelet part since I don't have the wavelet toolbox.

Answer 2

[KALYAN ACHARJYA]

You can use blockproc (Distinct block processing for image) on image

result=blockproc(image,[m n],fun)

Which processes the image by applying the function fun to each distinct block of size [m n] and concatenating the results into the output result matrix. You have to create the function

See the documentation for detail

Also you can look for sliding window (one by one pixel), check

kernel=create window
result=conv2(image, kernel, 'same');

If it still unclear, let me know?