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Digital Imaging: It involves creation of photographic images. This term is often assumed to imply the processing, compression, storage, printing, and display of such images. Digital imaging can be classified by the type of electromagnetic radiation. In all classes of digital imaging, the information is converted by image sensors into digital signals that are processed by a computer and made output as a visible-light image.


Image Compression: It is a type of data compression applied to digital images to reduce their cost for storage or transmission. It may be lossy or lossless. Lossless compression is preferred for archival purposes and often for medical imaging, technical drawings, clip art, or comics. Lossy compression methods, especially when used at low bit rates, introduce compression artifacts. This method is suitable for natural images such as photographs in applications where minor (sometimes imperceptible) loss of fidelity is acceptable to achieve a substantial reduction in bit rate. Lossy compression that produces negligible differences may be called visually lossless.

Image Sharpening and Smoothing: Image editing encompasses the process of altering images (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 editing illustrations with any traditional art medium. Graphic software programs, which can be broadly grouped into vector graphics editors, raster graphics editors, and 3D modelers, are the primary tools with which a user may manipulate, enhance, and transform images. Many image editing programs are also used to render or create computer art from scratch.

Graphics programs can be used to both sharpen and blur images in a number of ways. Portraits often appear more pleasing when selectively softened. Image sharpening involves a form of contrast. This is done by finding the average color of the pixels around each pixel in a specified radius, and then contrasting that pixel from that average color. This effect makes the image seem clearer, seemingly adding details.

Today, image processing is one of the rapidly growing technology of the world with its applications in various aspects of a business. It forms core research area within engineering and computer science disciplines too.


The act of converting an image into digital form is basically known as image processing. This process performs operation to get an enhanced image, such as a concept or a tool internal to an organization, to make it suitable as a commercial product.

Digital image processing is the use of computer algorithms to create, process, communicate, and display digital images. This algorithm can be used to convert signals from an image sensor to digital images by improving the clarity and removing noise and other artifacts.


​During image processing, watermark and background are removed along with masking, composing, color balance, and stock photo services. Images are cropped to reduce their size and make them web ready. 

Image Processing