Hi, I am using SSIM to compare 2 video streams\sets of images and I find it to be almost too accurate. I would like some fudge factor like other image comparison tools have. I used to do it in an automated test suite but due to file sizes and amounts I turned to scikit.
I do quality assurance on a render engine and we just want to make sure the images are meaningfully identical build to build. Currently with SSIM I am seeing things as small as 4 pixels across a 1920x1080 image different. I personally would like to ignore those 4 pixels but still catch meaningful items. Say if 8 pixels near each other were off keep those but if they are 8 pixels randomly through the image ignore them. Does this sound like something logical, say using an adjacency of pixels with a tolerance value for color and number of pixels as arguments? See attached image for example of how little is different in the entire image. It is a GIF zoomed in to the exact spot of 3 different pixels so hopefully it works. Regards, Mathew Saunders
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