ABSTRACT
Image processing and enhancement is done to improve the quality of an image. Just what that means depends on what it is we want to learn from the image or to show to someone else. Processing is sometimes necessary for the image to accurately reveal to human vision the scene or evidence that it is purported to depict. Examples include correcting colors and distortions, uneven illumination, or indistinct details, such as fine lines and object edges. In other situations, processing facilitates taking measurements of location, size, shape, or color of objects that are present. The measurements may then be used for object recognition, quantitative comparisons, creating three-dimensional (3D) models of the scene, and so forth. The processing algorithms use the data contained in the image itself, and possibly additional information contained in the image file, such as exposure conditions. They do not add anything to the original image, but instead clarify the existing information captured in the image so that it can be more readily seen and measured.
