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Your two images look essentially identical. Here is a map of the difference once one is scaled to match the other: The white is the pixels where the difference in level is 3 or more (difference along contrasting edges is due to rescaling). As far as I can tell the purple bands are in both images, and it indeed looks like banding: A smartphone is not a good ...


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The industry standard method would use two transforms encoded as ICC profiles. The input device would use an mapping from its color characteristics to the Profile Connection Space. Likewise the output would use a mapping from the Profile Connection Space to its output color space. This is the standard because it allowed for connecting any input device to any ...


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What you are probably seeing is the difference between how your display devices scale down the larger image and how they display the smaller image when you look at it on Instagram. Viewed at the same size, there's no significant difference between the two images.


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Because it is software for photographers, DigiKam’s developers probably feel their defaults produce a better results than a straight pass through. They want to provide photographers with sensible defaults. Digikam is opinionated in regards to photography. Because it is software for developers, Libraw’s developers have a different intent. They want to give ...


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Let's try. First, some magenta cast is indeed "normal" when you use wide-gamut displays with non-colour-managed apps. If your "need" is only sRGB (and Rec.709), then it would make sense to buy a "normal" (i.e. sRGB) monitor. This is particularly true if you edit video, because the output colour management for video is less ...


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It sounds like it is a monitor calibration issue. The best way to perform a monitor calibration is to use an actual hardware calibration tool. Several companies make them at a variety of price points ranging from about $100 to upwards of $1500 depending on how accurate you need to be and if it can only calibrate monitors or if you need to calibrate other ...


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