ImageType
Background & Context
- ImageType gives a label representing the number type used internally to represent each pixel of an image. The Wolfram Language supports images encoded by 1-bit integers (i.e. two-level binary), 8-bit unsigned integers, 16-bit unsigned integers, and 32- and 64-bit real numbers. These different bit depths allow a variety of image encodings, with smaller bit depths used for compact (i.e. lower memory) representation of images and larger bit depths providing higher resolution.
- Many image processing functions automatically convert integer-type images to a real type for higher accuracy prior to computation.
- The function Image can be used to convert between image types, and ImageAdjust can be used to bring all values of a real-valued image into the range 0 to 1. Another important property of an image is the number of channels the image contains, which may be obtained using the function ImageChannels.
Examples
Wolfram Research (2008), ImageType, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageType.html (updated 2019).
Text
Wolfram Research (2008), ImageType, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageType.html (updated 2019).
CMS
Wolfram Language. 2008. "ImageType." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2019. https://reference.wolfram.com/language/ref/ImageType.html.
APA
Wolfram Language. (2008). ImageType. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ImageType.html