Abstract




 
   

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

PDF URL: http://www.ije.ir/Vol30/No10/A/11-2579.pdf  
downloaded Downloaded: 120   viewed Viewed: 1677

  IMPROVED ADAPTIVE MEDIAN FILTER ALGORITHM FOR REMOVING IMPULSE NOISE FROM GRAYSCALE IMAGES
 
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.

References   

1.      Teoh, S.H. and Ibrahim, H., "Median filtering frameworks for reducing impulse noise from grayscale digital images: A literature survey", International Journal of Future Computer and Communication,  Vol. 1, No. 4, (2012), 323-330.

2.      Hwang, H. and Haddad, R.A., "Adaptive median filters: New algorithms and results", IEEE Transactions on Image Processing,  Vol. 4, No. 4, (1995), 499-502.

3.      Juneja, M. and Mohana, R., "An improved adaptive median filtering method for impulse noise detection", International Journal of Recent Trends in Engineering,  Vol. 1, No. 1, (2009), 274-278.

4.      Singh, K.K., Mehrotra, A., Nigam, M. and Pal, K., "A novel edge preserving filter for impulse noise removal", in Multimedia, Signal Processing and Communication Technologies (IMPACT), 2011 International Conference on, IEEE., (2011), 103-106.

5.      Wu, J. and Tang, C., "Pde-based random-valued impulse noise removal based on new class of controlling functions", IEEE Transactions on Image Processing,  Vol. 20, No. 9, (2011), 2428-2438.

6.      Tian, H., Cai, H. and Lai, J., "A novel diffusion system for impulse noise removal based on a robust diffusion tensor", Neurocomputing,  Vol. 133, (2014), 222-230.

7.      Fabijanska, A. and Sankowski, D., "Noise adaptive switching median-based filter for impulse noise removal from extremely corrupted images", IET Image Processing,  Vol. 5, No. 5, (2011), 472-480.

8.      Atulkar, M., Zadgaonkar, A. and Kumar, S., "Impulse noise removal technique based on fuzzy logic for contrast enhancement", Transactions on Machine Learning and Artificial Intelligence,  Vol. 2, No. 6, (2015), 99-107.

9.      Tukey, J.W., "Exploratory data analysis",  Vol., No., (1977).

10.    Jiyang, D. and Junying, Z., "A simple algorithm for removing salt and pepper noise from gray-scale image", Computer Engineering and Applications,  Vol. 20, (2003), 27-29.

11.    LIU, J.-y. and FEI, R.-c., "An improved median filtering algorithm for salt and pepper noise [j]", Journal of Liaoning Institute of Science and Technology,  Vol. 4, (2008), 011-20.

12.    Xing, C., Wang, S., Deng, H. and Luo, Y., "A new filtering algorithm based on extremum and median value", Journal of Image and Graphics,  Vol. 6, No. 6, (2001), 533-536.

13.             Wang, J.-Y., Zhou, X.-G. and Liao, Q.-Z., "Mixed noise filter based on median-fuzzy technology", Dianzi Yu Xinxi Xuebao(Journal of Electronics and Information Technology),  Vol. 28, No. 5, (2006), 901-904.


Download PDF 



International Journal of Engineering
E-mail: office@ije.ir
Web Site: http://www.ije.ir