JPEG to UVW(cieuvw,cie1964) Converter - Color Space Converter

Also known as the JPEG color space.There are 3 channels in total, Y,range from 0 to 255.Cb,range from 0 to 255.Cr,range from 0 to 255.

The JPEG standard was created by the Joint Photographic Experts Group and was officially published as an ISO standard in 1992.

JPEG, which stands for Joint Photographic Experts Group. The file format is typically .jpg or .jpeg.

The compression method involves transforming the image to a frequency domain using a Discrete Cosine Transform (DCT), quantizing the frequency components, and then encoding the result. JPEG images also support various levels of compression, which can be adjusted to balance image quality and file size.

JPEG is ubiquitous in digital photography, web graphics, and online image sharing due to its efficient compression methods.

JPEG uses a lossy compression technique, which means that some image quality is lost in the compression process, but the reduced file size is useful for storage and bandwidth considerations.

Also known as the UVW(cieuvw,cie1964) color space.There are 3 channels in total,U,range from -134 to 224.V,range from -140 to 122.W,range from 0 to 100.

Developed by the CIE in 1964 as an improvement over the CIE 1960 UCS for better perceptual uniformity across different hues and lightness levels.

It is known as the CIE 1964 (U^*, V^*, W^*) color space, and commonly abbreviated as CIE UVW.

The color in the CIE UVW space is represented by three coordinates: (U^*), (V^*), and (W^*). These are calculated from the XYZ coordinates with a series of transformations intended to achieve a more uniform color space, taking into account the luminance factor.

The CIE UVW color space is used in specialized applications that require a uniform measure of color differences, such as in colorimetry research and the development of color standards.

The CIE UVW color space is less commonly used in practical applications today, having been largely replaced by more advanced color spaces like CIELAB and CIELUV, which offer better perceptual uniformity.