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Basically, I'd like to bitwise XOR an image with another image of the same size but different content. Then, I rearranging all the pixels positions(shuffled the results). Then, I'd like to know what filters or image processing algorithms if I apply then restore the pixel positions and then remove the XORed image(by XORing it with the result), I would be able to get the same results as I apply the filters or the algorithms on the original image.

I know that all the filters or algorithms that requre two adjacent pixels to work are not suitable for my purpose. However, I'd like to know what filters or image processing algorithms do fall in this category.

Thanks

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This kind of question doesn't really fall within the realm of photography or photographic processing. I've closed it as off-topic, as it is also not really graphic design related either. Generally speaking, if you randomize input, then unless you track somewhere the results of that randomization (i.e. track difference vectors for each pixel after shuffling), then you'll never be able to restore the image to exactly what it was before. – jrista♦ Jun 19 '12 at 16:11
I have can restore the original image through reverse randomization but I'd like to know what can be done if we randomize and mask? – Alecandro D Jun 19 '12 at 17:08
If it is off-topic, where do I need to post this then? – Alecandro D Jun 19 '12 at 17:09
How exactly are you going to "reverse randomize"? As for where it belongs, I'm not really sure its an answerable question if you are indeed randomizing the pixel layout...so it might not belong anywhere. From an algorithmic standpoint, StackOverflow would be the place to ask such questions. – jrista♦ Jun 19 '12 at 18:08
the best place to ask this question would be dsp.stackexchange.com – Matt Grum Jun 20 '12 at 8:29

closed as off topic by jrista♦ Jun 19 '12 at 16:09

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