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Digital image processing
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==Tasks== Digital image processing allows the use of much more complex algorithms, and hence, can offer both more sophisticated performance at simple tasks, and the implementation of methods which would be impossible by analogue means. In particular, digital image processing is a concrete application of, and a practical technology based on: * [[Statistical classification|Classification]] * [[Feature extraction]] * [[Multi-scale signal analysis]] * [[Pattern recognition]] * [[Graphical projection|Projection]] Some techniques which are used in digital image processing include: * [[Anisotropic diffusion]] * [[Hidden Markov model]]s * [[Image editing]] * [[Digital photograph restoration|Image restoration]] * [[Independent component analysis]] * [[Linear filter]]ing * [[Artificial neural networks|Neural networks]] * [[Partial differential equations]] * [[Pixelation]] * [[Point feature matching]] * [[Principal components analysis]] * [[Self-organizing map]]s * [[Wavelet]]s
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