ACEScc to YCgCo Converter - Color Space Converter

Also known as the ACEScc color space.There are 3 channels in total, Red,range from -0.35828683 to 1.4679963120447153.Green,range from -0.35828683 to 1.4679963120447153.Blue,range from -0.35828683 to 1.4679963120447153.

ACEScc is part of the ACES (Academy Color Encoding System) workflow, developed by the Academy of Motion Picture Arts and Sciences to provide a standardized color management framework for the motion picture production, post-production, and archival industries. It is specifically designed for color grading and correction processes.

ACEScc, stands for Academy Color Encoding System - Color Correction.

In the ACEScc color space, colors are represented through Red (R), Green (G), and Blue (B) channels, specifically designed for high dynamic range and wide color gamut imagery.

ACEScc is primarily used in color grading and correction for film and video, especially in professional post-production environments.

ACEScc provides film and video professionals with a unified and consistent approach to handling color, particularly when transferring and matching colors across different cameras, formats, and display devices.

Also known as the YCgCo color space.There are 3 channels in total,Y,range from 0 to 1.Cg,range from -0.5 to 0.5.Co,range from -0.5 to 0.5.

Origin: The YCgCo color space was designed for digital video processing to provide a simple and reversible color transformation method, serving as an approximation of the YCbCr color space.

Primary Names: YCgCo color space, where 'Y' represents the luminance component, 'Cg' stands for the green difference component, and 'Co' represents the red-blue difference component.

Typically expressed as a triplet, for example: YCgCo(0.5, -0.25, 0.25) represents a color with specific luminance and chromatic differences.

Usage Scope: Mainly used in image coding and digital video processing, for example, it is applied in encoding standards such as JPEG XR and H.264/MPEG-4 AVC.

Additionally, due to the simple conversion process of YCgCo, it supports efficient hardware implementation and can be losslessly transformed back to the RGB format.