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digital-image-processing-research-paper-2012-section2

digital-image-processing-research-paper-2012 Digital image processing is the use of computer algorithms to perform image processing on digital images. As a subcategory or field of digital signal processing, digital image processing has many advantages over analog image 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. Since images are defined over two dimensions (perhaps more) digital image processing may be modeled in the form of Multidimensional Systems. Some techniques which are used in digital image processing include: Pixelization Linear filtering Principal components analysis Independent component analysis Hidden Markov models Anisotropic diffusion Partial differential equations Self-organizing maps Neural networks Wavelets

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Image restoration



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