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Comparative performance analysis of spatial domain filtering techniques in digital image processing for removing different types of noise | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 13، Special Issue for selected papers of ICDACT-2021، خرداد 2022، صفحه 117-125 اصل مقاله (407.24 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6337 | ||
| نویسندگان | ||
| Prashant Kumar Dubey* 1؛ Pratima Dubey1؛ Mayank Sharma2؛ Soni Changlani3 | ||
| 1Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India | ||
| 2Mathematics Division, SASL, VIT University Bhopal, (M.P.), India | ||
| 3Department of Electronics and Comm. Engineering, LNCT College, Bhopal (M.P.), India | ||
| تاریخ دریافت: 24 مرداد 1401، تاریخ بازنگری: 01 دی 1400، تاریخ پذیرش: 25 دی 1400 | ||
| چکیده | ||
| 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). | ||
| کلیدواژه‌ها | ||
| image Processing؛ noise Removal؛ filtering techniques؛ mean square error (MSE)؛ signal to noise ratio(SNR)؛ Peak Signal noise ratio(PSNR) | ||
| مراجع | ||
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