SOFT COMPUTING TECHNIQUES FOR IMAGE RESTORATION
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Image restoration is very crucial task to preserve the fine points of the image. One of the conflicts of the image restoration is impulse noise. Impulse noise is environmental noise it affects the image during the transmission, store of the image pixels in memory cell and hardware failures in capturing devices. In literature, many effective techniques are suggested to eliminate the impulse noise. But their execution is not great under moderate and high noise conditions. Hence, there is adequate scope to investigate and develop filters to eliminating he impulse noise at high noise densities. In...
Image restoration is very crucial task to preserve the fine points of the image. One of the conflicts of the image restoration is impulse noise. Impulse noise is environmental noise it affects the image during the transmission, store of the image pixels in memory cell and hardware failures in capturing devices. In literature, many effective techniques are suggested to eliminate the impulse noise. But their execution is not great under moderate and high noise conditions. Hence, there is adequate scope to investigate and develop filters to eliminating he impulse noise at high noise densities. In this book, we address these issues by proposing five techniques to remove the various levels of impulse noise from the digital images by retaining the useful information in image with less computational time.
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