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International Journal of Nonlinear Analysis and Applications، جلد ۱۳، شماره Special Issue for selected papers of ICDACT-۲۰۲۱، صفحات ۱۱۷-۱۲۵
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عنوان انگلیسی Comparative performance analysis of spatial domain filtering techniques in digital image processing for removing different types of noise
چکیده انگلیسی مقاله The reduction of the noise of the images always prevails as a challenge in the field of image processing. An image obtained after the elimination of noise has a higher clarity in terms of interpretation and study analysis in different fields such as medical, satellite and radar. This research work examines the various methods of de-noise images in the spatial domain and a comparison between several filtering techniques is carried out in the presence of different types of noise to achieve a high-quality image and to find the most suitable and reliable method for De-noising images. performance of all the filters is compared using parameters such as Mean Square Error (MSE), peak signal to noise ratio (PSNR).
کلیدواژه‌های انگلیسی مقاله Image processing, Noise Removal, filtering techniques, mean square error (MSE), signal to noise ratio(SNR), Peak Signal noise ratio(PSNR)
نویسندگان مقاله Prashant Kumar Dubey |
Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India

Pratima Dubey |
Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India

Mayank Sharma |
Mathematics Division, SASL, VIT University Bhopal, (M.P.), India

Soni Changlani |
Department of Electronics and Comm. Engineering, LNCT College, Bhopal (M.P.), India

نشانی اینترنتی https://ijnaa.semnan.ac.ir/article_6337_6a0794b8d4be0ea2997e84613f074c9b.pdf
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