KOLORISTIKA APP · 1.2.5 · CLR™
May 11th 2026 • PRESS RELEASE
FORTY YEARS. ONE ASSUMPTION. GONE.
The first noise reduction that reduces only the noise. No blur, no averaging, no invention. Grain intact, texture intact, color where it was.
CLR™, Color Locus Reset, headlines Koloristika 1.2.5, out now. For the first time in forty years, a photograph's signal-to-noise ratio improves by reducing only the noise.
Every digital photo carries noise: random pixel chatter from a sensor working below the light it needs. For forty years the fix has been one move under many names. Smooth it. Blur it. Average it with the pixels next door. Train a model to invent what should have been there. Different methods, the same move, and the same compromise underneath. You lose part of the photograph along the way. Edges soften. Skin goes waxy. Foliage melts. The defense was always that the noise was never really part of the picture, so smearing a little real signal was the price. The signal-to-noise ratio did go up. Technically. Because both numbers shrank. Less noise, and less photo.
CLR does not blur. It uses physics.
The colors of the real world live inside a specific region, a boundary measured in 1931. Inside it sits every color light can make. Outside it sit chromaticities that cannot physically exist, impossible colors. The pink and purple speckle that has defined small-sensor low-light photography for a generation lives outside that boundary. It is, by definition, not a real color. CLR identifies noise by where it lives in color space, not by how it looks, and walks the impossible colors home. It touches nothing else. The signal is left exactly where the sensor put it. The grain stays. The texture stays. The color returns to where it was.
Subtle. Organic. Measured. The compromise is over.
The first noise reduction that reduces only the noise. No blur, no averaging, no invention. Grain intact, texture intact, color where it was.
CLR™, Color Locus Reset, headlines Koloristika 1.2.5, out now. For the first time in forty years, a photograph's signal-to-noise ratio improves by reducing only the noise.
Every digital photo carries noise: random pixel chatter from a sensor working below the light it needs. For forty years the fix has been one move under many names. Smooth it. Blur it. Average it with the pixels next door. Train a model to invent what should have been there. Different methods, the same move, and the same compromise underneath. You lose part of the photograph along the way. Edges soften. Skin goes waxy. Foliage melts. The defense was always that the noise was never really part of the picture, so smearing a little real signal was the price. The signal-to-noise ratio did go up. Technically. Because both numbers shrank. Less noise, and less photo.
CLR does not blur. It uses physics.
The colors of the real world live inside a specific region, a boundary measured in 1931. Inside it sits every color light can make. Outside it sit chromaticities that cannot physically exist, impossible colors. The pink and purple speckle that has defined small-sensor low-light photography for a generation lives outside that boundary. It is, by definition, not a real color. CLR identifies noise by where it lives in color space, not by how it looks, and walks the impossible colors home. It touches nothing else. The signal is left exactly where the sensor put it. The grain stays. The texture stays. The color returns to where it was.
Subtle. Organic. Measured. The compromise is over.
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