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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 7, ISSUE 12, DECEMBER 2020

Noise Models in Digital Image Processing

V. C. Sakhare, S. V. Kamble, J. A. Alase

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Abstract: Digital images carry large amount of information and play important role in every aspect of life. So, images are required to be in accurate form. However, during image acquisition, coding, transmission and processing, images are getting degraded by noise. noise interference changes true pixel value and distorts most of the part of image. Hence noise removal is important and it requires prior knowledge of type of noise, its effects and causes. So, this paper gives an over view of various types of noise.

Keywords: Noise models, PDF, mean, standard deviation

How to Cite:

[1] V. C. Sakhare, S. V. Kamble, J. A. Alase, “Noise Models in Digital Image Processing,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2020.71204

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