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Image restoration can be broadly categorized into two main types: spatial domain and frequency domain methods. Spatial domain techniques operate directly on the image pixels, while frequency domain methods transform the image into the frequency domain using techniques such as the Fourier transform, where restoration operations are performed.
The GNU Image Manipulation Program, commonly known by its acronym GIMP (/ ɡ ɪ m p / ⓘ GHIMP), is a free and open-source raster graphics editor [3] used for image manipulation (retouching) and image editing, free-form drawing, transcoding between different image file formats, and more specialized tasks. It is extensible by means of plugins ...
Digital photograph restoration uses image editing techniques to remove undesired visible features, such as dirt, scratches, or signs of aging. People use raster graphics editors to repair digital images, or to add or replace torn or missing pieces of the physical photograph.
Recovery Toolbox web services allow repairing the following file formats: Adobe file formats: PDF documents and presentations ((Adobe Acrobat/PDF Reader), AI image files (Adobe Illustrator), and PSD project files (Adobe Photoshop) [24] [25] [26]
PhotoRec is a free and open-source utility software for data recovery with text-based user interface using data carving techniques, designed to recover lost files from various digital camera memory, hard disk and CD-ROM. It can recover the files with more than 480 file extensions (about 300 file families).
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.