Image processing

In the broadest sense, image processing includes any form of information processing in which the input is an image. Many image processing techniques derive from the application of signal processing techniques to the domain of images two-dimensional signals such as photographs or video.

Typical problems are:

Geometric transformations such as enlargement, reduction, and rotation

Color corrections such as brightness and contrast adjustments, quantization, or conversion to a different color space

Combination of two or more images, e.g. into an average, blend, difference, or image composite

Interpolation, demosaicing, and recovery of a full image from a mosaic image (e.g. a Bayer pattern, etc.)

Noise reduction and other types of filtering, and signal averaging

Edge detection and other local operators

Segmentation of the image into regions