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What problem you try to solve with GANs? Your RAW HDR photos are really taken by a sensor with RGB mask filtering out whatever is not visible spectrum. Scientif
by imhoguy 6y ago
What problem you try to solve with GANs? Your RAW HDR photos are really taken by a sensor with RGB mask filtering out whatever is not visible spectrum. Scientific or indistrial imaging mostly use monochromatic information which is later colorized for human eyes.
Even if you get millions of RAW photos they will come from different sensors with different properties (noise, sensitivity, mosaic, orientation...) and you need to to normalize them all. sRGB is most common normalization target for which all prosumer cameras are optimized for.
The format is not really important here as it is usually array of pixels. You need more bits and resolution? Fine, but you also get more useless noise.
- formerly_proven 6y agoColor and dynamic range of most sensors extends greatly beyond sRGB, it's the camera's JPEG processing engine which maps this larger range to the smaller sRGB (or AdobeRGB) range.
- imhoguy 6y agoYou can attach custom ICC profile to JPEG, also to TIFF or PNG. But still you need to normalize data from different kind of sensors before you feed any ML engine with it. sRGB or AdobeRGB are most common color space profiles you can get with varied content.