IMAGE PROCESSING PROJECT GUIDELINES

Hi i am working on my project on image processing. In that i need to divide an image into overlapping blocks and then apply svd i.e. singular value decomposition to each block. Any help in this context is appreciated.

Answer 1

[Image Analyst]

See the FAQ for code on NON-overlapping blocks. http://matlab.wikia.com/wiki/FAQ#How_do_I_split_an_image_into_non-overlapping_blocks.3F

If that doesn't work for you then you can have overlapping by the window size minus 1 if you use most functions, or a custom function if you use nlfilter(). If you use any amount of overlap other than 0 or 1 pixel, please explain why you need to do this, since I have doubts as to whether you actually need to do that.

[TUSHAR MURATKAR]

@Image Analyst.... can you explain me difference between overlapping and non overlapping blocks. Thanks in advance

[Image Analyst]

Let's say your block was 10 pixels wide. Then non-overlapping blocks would position the block at column 1, 11, 21,31, etc. With overlapping blocks, the blocks are not tiled/stitched adjacent to each other. So if the overlap were 2 pixels, instead of the next block being at column 11, it would be placed at column 9 instead. So the blocks would be at 1, 9, 17, 25, etc. Which way do you want it?

[TUSHAR MURATKAR]

ok....thanks for such a wonderful explaination. i want to do it with overlapping. But i have one doubt, in my base paper which i am implementing in matlab the authors do not mention about how many pixels needs to be considered for overlapping. They just mention divide image into overlapping blocks and apply svd to each block. can u enlighten this context?

[TUSHAR MURATKAR]

Can anybody tell me how to apply SVD on each block of the matrix. (The image is obtained after dividing an image into overlapping blocks.)