CIECAM22

CIECAM22 is a color appearance model developed by the International Commission on Illumination (CIE) in 2017. It is designed to predict the appearance of colors under various viewing conditions, taking into account factors such as luminance, surround, and viewing distance. The model is an extension of the CIECAM02, which was developed in 2002. CIECAM22 improves upon its predecessor by incorporating more advanced chromatic adaptation and surround modeling, as well as a more accurate representation of the human visual system's response to color.

The CIECAM22 model is based on the CIE 1931 XYZ color space, which is a standard color space used in colorimetry. The model uses a series of transformations to convert the XYZ values into a color appearance space, which includes attributes such as lightness, chroma, and hue. These attributes are then adjusted to account for the viewing conditions, such as the luminance of the surround and the viewing distance.

One of the key features of CIECAM22 is its ability to model the chromatic adaptation of the human visual system. Chromatic adaptation is the process by which the human eye adjusts to changes in the color of the illuminant, allowing us to perceive colors consistently despite changes in lighting conditions. CIECAM22 uses a more advanced chromatic adaptation transform than CIECAM02, which improves the accuracy of the model's predictions.

Another key feature of CIECAM22 is its surround modeling. The surround modeling in CIECAM22 takes into account the luminance of the surround, as well as the viewing distance. This allows the model to accurately predict the appearance of colors under a wide range of viewing conditions, from dark rooms to bright daylight.

CIECAM22 has been widely adopted in the field of color science and is used in a variety of applications, including color management, color reproduction, and color appearance matching. The model is also used in the development of color appearance databases, which are used to evaluate the performance of color appearance models.