I'm working with custom lighting to produce photography used in photogrammetry, there being two models of LEDs used in separate exposures of nearly identical rasters. I'm limited to manufacturing tolerances in how closely matched are the spectral output of both arrays, there being a slight shift in overall chromaticity between images illuminated with each set of LEDs. This poses a problem when I go to layer these exposures in Photoshop to apply a difference blend, something I intend to use to tease out specular reflections in one of the image sets. This only works when the the color matches perfectly in both sets. I've had these LEDs tested and was provided a set of text files containing the needed spectral data, the question now turning to how to use this data to filter out of each data set what's not in common to the other data set, allowing me to work with a lowest common denominator. I'm not worried about dumbing down the color, as the isolated specualar data is converted to grayscale before it's put to use in a shader tree in a game engine.
Any idea how this might work in Photoshop. I'd write an action script to batch process the image database, just need to figure out how to make this work on two images based on the data in the .txt files. I'm attaching a partial sample of these files, the full spectral distribution data is about ten times too big to upload here. Many thanks!
Any idea how this might work in Photoshop. I'd write an action script to batch process the image database, just need to figure out how to make this work on two images based on the data in the .txt files. I'm attaching a partial sample of these files, the full spectral distribution data is about ten times too big to upload here. Many thanks!