IJE TRANSACTIONS A: Basics Vol. 30, No. 10 (October 2017) 1503-1509    Article in Press

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R. Tang, X. Zhou and D. Wang
( Received: February 17, 2017 – Accepted in Revised Form: July 07, 2017 )

Abstract    Digital image is often degraded by many kinds of noise during the process of acquisition and transmission. To make subsequent processing more convenient, it is necessary to decrease the effect of noise. There are many kinds of noises in image, which mainly include salt and pepper noise and Gaussian noise. This paper focuses on median filters to remove the salt and pepper noise. After summarizing the main disadvantages of the conventional median filters, this paper proposes a new kind of median filter algorithm based on the detection of impulse noise points. The performance of the proposed algorithm is compared with the conventional standard median filter (SMF), extremum median filter (EMF), and adaptive median filter (AMF). Experimental results under various noise intensities show that the proposed method has better denoising performance and detail preservation compared with the other denoising methods.


Keywords    image denoising, impulse noise removal, salt and pepper noise, adaptive median filter (AMF)


چکیده    در طول فرآیند دریافت و انتقال، کیفیت تصویر دیجیتال اغلب توسط انواع مختلف نوفه کاهش می یابد. برای راحتی پردازش بعدی، لازم است که اثر نوفه کاهش داده شود. انواع مختلف نوفه در تصویر وجود دارد که عمدتاً شامل نوفه نمک و فلفل و نوفه گاوسی است. این مقاله بر روی فیلترهای میانه برای حذف نوفه نمک و فلفل تمرکز دارد. پس از خلاصه کردن معایب اصلی فیلترهای میانه معمولی، این مقاله، یک نوع جدید از الگوریتم فیلتر میانه را بر اساس تشخیص نقاط ضربان نوفه ارائه می دهد. عملکرد الگوریتم پیشنهاد شده با فیلتر میانه استاندارد معمولی (SMF)، فیلتر میانه اکسترمومی (EMF) و فیلتر میانه تطبیقی (AMF) مقایسه شده است. نتایج تجربی تحت نوفههای با شدت مختلف نشان می دهد که روش پیشنهادی بهتر از لحاظ حذف نوفه و حفظ جزئیات بر روشهای دیگر برتری دارد.


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