NDLI: Image denoising using spatial domain filters: A quantitative study

Content Provider	IEEE Xplore Digital Library
Author	Sharma, A. Singh, J.
Copyright Year	2013
Description	Author affiliation: Dept. of Inf. Technol., DAV Inst. of Eng. & Technol., Jalandhar, India (Sharma, A.) \|\| Dept. of Electron. & Commun., DAV Inst. of Eng. & Technol., Jalandhar, India (Singh, J.)
Abstract	Image denoising is the first preprocessing step dealing with image processing. In image denoising an image is processed using certain restoration techniques to remove induced noise which may creep in the image during acquisition, transmission or compression process. Examples of noise in an image can be Additive White Gaussian Noise (AWGN), Impulse Noise, etc. The goal of restoration techniques is to obtain an image that is as close to the original input image as possible. In this paper objective evaluation methods are used to judge the efficiency of different types of spatial domain filters applied to different noise models, with a quantitative approach. Performance of each filter is compared as they are applied on images affected by a wide variety of noise models. Conclusions are drawn in the end, about which filter is best suited for a number of noise models individually induced in an image, according to the experimental data obtained.
Sponsorship	IEEE Eng.Med. Biol. Soc.
Starting Page	293
Ending Page	298
File Size	676714
Page Count	6
File Format	PDF
e-ISBN	9781479927647
DOI	10.1109/CISP.2013.6744005
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Noise models Maximum likelihood detection Histograms PSNR Denoising spatial filters Adaptive filters Nonlinear filters Image restoration Image denoising
Content Type	Text
Resource Type	Article

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