Call for Paper - November 2023 Edition
IJCA solicits original research papers for the November 2023 Edition. Last date of manuscript submission is October 20, 2023. Read More

A Comparative Study on Noise Removal of Compound Images using Different Types of Filters

International Journal of Computer Applications
© 2012 by IJCA Journal
Volume 47 - Number 14
Year of Publication: 2012
Zinat Afrose

Zinat Afrose. Article: A Comparative Study on Noise Removal of Compound Images using Different Types of Filters. International Journal of Computer Applications 47(14):45-48, June 2012. Full text available. BibTeX

	author = {Zinat Afrose},
	title = {Article: A Comparative Study on Noise Removal of Compound Images using Different Types of Filters},
	journal = {International Journal of Computer Applications},
	year = {2012},
	volume = {47},
	number = {14},
	pages = {45-48},
	month = {June},
	note = {Full text available}


With the advances of information technology, many techniques have been discovered to represent data. A large amount of data is commonly represented by an image. Accuracy of this data representation by an image is another important task in image processing. 'Representation of data via a compound image' is becoming most popular day by day. So, noise removal is necessary to maintain the quality of the compound images. Noise can be added to the compound images during image acquisition, image capturing or image transmission. Different literature study shows that many filtering techniques are presented to remove noise or improve the quality of the corrupted images. This paper deals with the performance study of Median, Relaxed median, Wiener, Centre weighted median and Averaging filters to remove Salt and pepper, Gaussian and Speckle noise in the compound images. This paper proposes relaxed median filter performs better for compound images.


  • De queiroz, Ricardo L, Buckley, Robert R, Xu, Ming "lMixed raster content (MRC) model for compound image compression", Proc. SPIE Vol. 3653, p. 1106-1117, Visual Communications and Image Processing '99, Kiyoharu Aizawa; Robert L. Stevenson; Ya-Qin Zhang; Eds.
  • Amir Said and Alexander I. Drukarev, "Simplified segmentation for compound image compression," Proc. IEEE Int. Conf. Image Processing, vol. 1, pp. 24-28, Oct. 1999.
  • D. Maheswari et. al. , "Noise removal in compound image using median filter" (IJCSE) International Journal on Computer Science and Engineering, Vol. 02, No. 04, 2010, 1359-1362.
  • Md. Mosaddik Hasan, Md. Sohel Parvez, Jahirul Isalm, Shibnath Datta, "(IJECT) International Journal on Electronics & Communication Technology " Vol. 2, SP-1, Dec . 2011 ISSN : 2230-7109.
  • http://idlastro. gsfc. nasa. gov/idl_html_help/Filtering_an_Imagea. html
  • Suresh Kumar, Papendra Kumar, Manoj Gupta, Ashok Kumar Nagawat, "Performance Comparison of Median and Wiener Filter in Image De-noising",International Journal of Computer Applications (0975 – 8887) Volume 12– No. 4, November 2010.
  • Abdessamad ben hamza, Pedro l luque-escamilla, Jos´e mart´inez-aroza, Ramon roman-roldan, " Removing Noise and Preserving Details with Relaxed Median Filters" Journal of Mathematical Imaging and Vision 11, 161–177 (1999) Kluwer Academic Publishers. Manufactured in The Netherlands.
  • Tong sun, Moncef gabbouj, Yrio neuvo," Analysis of Two-Dimensional Center Weighted Median Filters", Multidimensional Systems and Signal Processing, 6, 159-172 (1995)Kluwer Academic Publishers, Boston. Manufactured in The Netherlands. (1995)Kluwer Academic Publishers, Boston. Manufactured in The Netherlands.
  • Yao Wang Polytechnic University, Brooklyn, NY11201 http://eeweb. poly. edu/~yao.
  • Shi Zhong, "Image Denoising using Wavelet Thresholding and Model Selection", International Conference on Image Processing Proceedings, 2000, Volume: 3, 10-13 Sept. 2000 Pages: 262.