Volume 11 Number 5 (May 2016)
Home > Archive > 2016 > Volume 11 Number 5 (May 2016) >
JSW 2016 Vol.11(5): 455-463 ISSN: 1796-217X
doi: 10.17706/jsw.11.5.455-463

An Efficient Denoising Architecture for Impulse Noise Removal in Colour Image Using Combined Filter

S. Arul Jothi1*, N. Santhiya Kumari2, M. Ram Kumar Raja3

1 ECE Department, Sri Ramakrishna Engineering College, Coimbatore, Tamilnadu.
2 ECE Department, Knowledge Institute of Technology, Salem,Tamilnadu
3ECE Department, Coimbatore Institute of Engineering and Technology, Coimbatore, Tamilnadu.
Abstract—Two main tasks of image processing are noise filtering and image enhancement.During image acquisition and transmission the images are corrupted by noise.these noise will affect the performance of image processing mehods,herefore to improve the performance efficient denoising technique is necessary for image processing methods.In this paper the performance of combined filter in impulse denoising has been compared with the marginal median filter.the statistical values such as PSNR,MSE,MAE are used to analyze the performance of the filterswith he aid of MATlab software. This combined filter (Resampling and MAMMF) removes the aliasing, blurring and impulse noise problem and produce the highest quality images with low cost and complexity.

Index Terms—Combined filer, impulse noise, MAE, MMF, MSE, PSNR.

[PDF]

Cite: S. Arul Jothi, N. Santhiya Kumari, M. Ram Kumar Raja, "An Efficient Denoising Architecture for Impulse Noise Removal in Colour Image Using Combined Filter," Journal of Software vol. 11, no. 5, pp. 455-463, 2016.

PREVIOUS PAPER
First page
NEXT PAPER
Impact of Variances of Random Weights and Biases on Extreme Learning Machine

General Information

  • ISSN: 1796-217X (Online)

  • Abbreviated Title: J. Softw.

  • Frequency:  Quarterly

  • APC: 500USD

  • DOI: 10.17706/JSW

  • Editor-in-Chief: Prof. Antanas Verikas

  • Executive Editor: Ms. Cecilia Xie

  • Abstracting/ Indexing: DBLP, EBSCO,
           CNKI, Google Scholar, ProQuest,
           INSPEC(IET), ULRICH's Periodicals
           Directory, WorldCat, etc

  • E-mail: jsweditorialoffice@gmail.com

What's New

  • Oct 22, 2024 News!

    Vol 19, No 3 has been published with online version   [Click]

  • Jan 04, 2024 News!

    JSW will adopt Article-by-Article Work Flow

  • Apr 01, 2024 News!

    Vol 14, No 4- Vol 14, No 12 has been indexed by IET-(Inspec) 　   [Click]

  • Apr 01, 2024 News!

    Papers published in JSW Vol 18, No 1- Vol 18, No 6 have been indexed by DBLP   [Click]

  • Jun 12, 2024 News!

    Vol 19, No 2 has been published with online version   [Click]