I'm wanting to process images of textures (e.g. repetitive patterns, like brick walls), for a regression problem. The issue, most of the images are at least on the order of 2000 x 2000 pixels, or 4 million datapoints. If significantly cropped, maybe 400x400, 160000 datapoints. I need something more on the order of 1000 datapoints for the regression method I'm using.
So I'm not sure if there might be some nice compression algorithms I can use, to decrease the number of pixels.
Let me know if you have any ideas, ASAP. (PM or reply to this thread). If you have experience with Matlab, that's a plus.
Thanks
