image processing

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image processing

See imaging.

image processing

[′im·ij ‚prä·ses·iŋ]
(computer science)
A technique in which the data from an image are digitized and various mathematical operations are applied to the data, generally with a digital computer, in order to create an enhanced image that is more useful or pleasing to a human observer, or to perform some of the interpretation and recognition tasks usually performed by humans. Also known as picture processing.

image processing

(graphics)
Computer manipulation of images. Some of the many algorithms used in image processing include convolution (on which many others are based), FFT, DCT, thinning (or skeletonisation), edge detection and contrast enhancement. These are usually implemented in software but may also use special purpose hardware for speed.

Image processing contrasts with computer graphics, which is usually more concerned with the generation of artificial images, and visualisation, which attempts to understand (real-world) data by displaying it as an artificial image (e.g. a graph). Image processing is used in image recognition and computer vision.

Silicon Graphics manufacture workstations which are often used for image processing. There are a few programming languages designed for image processing, e.g. CELIP, VPL.

See also Pilot European Image Processing Archive.

Usenet newsgroup: news:sci.image.processing.

image processing

(1) The analysis of a picture using techniques that can identify shades, colors and relationships that cannot be perceived by the human eye. Image processing is used to solve identification problems, such as in forensic medicine or in creating weather maps from satellite pictures. It deals with images in bitmapped graphics format that have been scanned in or captured with digital cameras.

(2) Any image improvement, such as refining a picture in a paint program that has been scanned or entered from a video source.

(3) See imaging.
References in periodicals archive ?
Nethra's NI-9065 Image Processor Enables Crisp Clear Video with Low Noise in Network Surveillance Cameras
Nethra NI-2060 Image Processor Enables Crisp Photos and High Resolution Video From 3.
GlobalStreams, HaiVision and Image Video Select Gennum's Popular GF9351 Image Processor
The DIGIC III image processor replaces the DIGIC II and assists in rendering very fine image detail and natural color reproduction with 50% less shadow noise than previous EOS digital SLRs.
Using both CleanCapture II image processors with traditional CCD sensors, enables OEMs to deliver double or quadruple the usable ISO settings on a camera.
NYSE:CDN) (Nasdaq:CDN) today announced that Nethra Imaging successfully taped out its first product, the NI-2050 image processor designed for mobile handset applications, using Cadence(R) Encounter(TM) RTL Compiler synthesis.
DSP Image processors lack the special high-performance, pipelined, JPEG and Zoom engines necessary to drive these types of special effects at HD resolutions from within a camera.
CleanCapture image processors are the image processor building blocks used by a variety of digital video, hybrid and still camera makers.
The successful integration of our NI-2060 image processor with an industry-leading multimedia application processor such as Freescale's i.
The programmable image processor family provides performance, flexibility and low power for a wide range of digital consumer applications.
As an extension of this work, Global Graphics is debuting its own new generation of Raster Image Processor (RIP) and Page Description Language (PDL) solutions which will be made available under license to hardware and software vendors to support this new print and document format in their products.

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