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<blockquote data-quote="Felisek" data-source="post: 407022" data-attributes="member: 23887">I understand very well what you are saying, but please consider this.The problem with this approach is that you reduce the number of discrete levels available for the image. If you shoot with high ISO, you fill the entire histogram, let's say 256 levels in each channel. In your approach all this information is compressed into, let's say, 25 discrete levels in each channel. Then, you expand these 25 levels into 256 levels in post-processing. By doing this, you will introduce discrete artefacts, who's appearance will depend on the image: banding, pixelation, loss of quality, noise (although different than high-ISO noise).When the amount of light reaching the sensor is low, it creates noise. Whether you amplify the image onboard (high ISO) or in post-processing (adjusting exposure), the noise will be there (it might be in a different form, though). There is no magical way of removing noise in low light.</blockquote>

[QUOTE="Felisek, post: 407022, member: 23887"] I understand very well what you are saying, but please consider this. The problem with this approach is that you reduce the number of discrete levels available for the image. If you shoot with high ISO, you fill the entire histogram, let's say 256 levels in each channel. In your approach all this information is compressed into, let's say, 25 discrete levels in each channel. Then, you expand these 25 levels into 256 levels in post-processing. By doing this, you will introduce discrete artefacts, who's appearance will depend on the image: banding, pixelation, loss of quality, noise (although different than high-ISO noise). When the amount of light reaching the sensor is low, it creates noise. Whether you amplify the image onboard (high ISO) or in post-processing (adjusting exposure), the noise will be there (it might be in a different form, though). There is no magical way of removing noise in low light. [/QUOTE]

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