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Digital image processing is the use of computer algorithms to perform image processing on digital images. Digital image processing has the same advantages (over analog image processing) as digital signal processing has (over analog signal processing) -- it allows a much wider range of algorithms to be applied to the input data, and can avoid problems such as the build-up of noise and signal distortion during processing.

The most common kind of digital image processing is digital image editing.

1 History
2 Digital processing of camera images
3 Uses
4 See also
5 External links

History

Because of the computational load of dealing with images containing millions of pixels, digital image processing was largely of academic interest until the 1970s, when dedicated hardware became available that could process images in real time, for some dedicated problems such as television standards conversion. As general-purpose computers became faster, they started to take over the role of dedicated hardware for all but the most specialized and compute-intensive operations.

With the fast computers and signal processors available in the 2000s, digital image processing has become the most common form of image processing, and is generally used because it is not only the most versatile method, but also the cheapest.

Digital processing of camera images

Images taken by popular digital cameras often need processing to improve their quality, a distinct advantage digital cameras have over film cameras. The digital image processing is done by special software programs that manipulate the images is many ways. This process is performed in a "digital darkroom", which is not really a darkroom as it is accomplished via a computer and keyboard.

Uses

Digital image processing allows the use of much geek more complex algorithms for image processing, and hence can offer both more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analog means.

In particular, digital image processing is the only practical technology for:

Classification
Feature extraction
Pattern recognition
Projection
Multi-scale signal analysis

Some techniques which are used in digital image processing include:

Principal components analysis
Independent component analysis
Self-organizing maps
Hidden Markov models
Neural networks

External links

Wikicities has a wiki about: Computer Vision
Image Processing forum (image coding, compression, digital effects, mpeg, etc)
GRAIL, the Graphics and Imaging Laboratory of the University of Washington
Virginia Image and Video Analysis group
Advanced Imaging Laboratory of the University of Victoria
FILTERS : a free open source image processing library

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This article is licensed under the GNU Free Documentation License. It uses material from the Wikipedia article "digital image processing".