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Image restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such as motion blur , noise and camera mis-focus. [ 1 ]
Unwanted color casts are removed and the image's contrast or sharpening may be altered to restore the contrast range or detail believed to have been in the original physical image. Digital image processing techniques included in image enhancement and image restoration software are also applied to digital photograph restoration.
The purpose of early image processing was to improve the quality of the image. It was aimed for human beings to improve the visual effect of people. In image processing, the input is a low-quality image, and the output is an image with improved quality. Common image processing include image enhancement, restoration, encoding, and compression.
It can create an image file that is larger than 2 GB. (In GHOST 8.2 or earlier, such image files are automatically split into two or more segments, so that each segment has a maximum size of 2 GB.) Other new features include more comprehensive manufacturing tools, and the ability to create a "universal boot disk". [further explanation needed]
Image editing encompasses the processes of altering images, whether they are digital photographs, traditional photo-chemical photographs, or illustrations. Traditional analog image editing is known as photo retouching, using tools such as an airbrush to modify photographs or edit illustrations with any traditional art medium.
CVIP has the ability to read various image formats, including TIFF, PNG, GIF, JPEG, BMP, and RAW formats. It supports standard image processing functions, image compression, restoration, logical and arithmetical operations between images, contrast manipulation, image sharpening, frequency transformation, edge detection, segmentation, and geometric transformations.