How can I efficiently process a numpy array in blocks similar to Matlab's blkproc (blockproc) function

Question

I\'m looking for a good approach for efficiently dividing an image into small regions, processing each region separately, and then re-assembling the results from each proces

Answer 1

Even later in the game. There is a Swiss Image processing package called Bob available at: https://www.idiap.ch/software/bob/ It has some python commands for blocks, e.g. bob.ip.base.block which appears to do everything the Matlab command 'blockproc' does. I have not tested it.

There are also interesting commands bob.ip.base.DCTFeatures which incorporates the 'block' capabilities to extract or modify DCT coefficients of an image.