Automatic Noise Identification in Images using Statistical Features
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Date
2011
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Abstract
Noises are unwanted information which will be normally present
in an image. It should be removed in such a way that the important
information present in an image is preserved. De-noising an image
is very active research area in image processing. There are several
algorithms for de-noise but each algorithm has its own assumptions,
advantages and limitations. The method proposed in this paper
uses a simple pattern classification for noise identification. The
significant idea is to obtain the noise samples and to extract their
statistical feature for identifying the noise type. Simple image
filters are used to get the noise samples and noise identification is
achieved by using few statistical features. The method is capable
of accurately classifying the type of noise besides the type of
images used.