A NEW DENOISING APPROACH FOR THE REMOVAL OF IMPULSE NOISE FROM COLOR IMAGES AND VIDEO SEQUENCES

Authors

  • Rajamani Arumugham PSG Polytechnic College, Tamilnadu
  • Krishnaveni Vellingiri PSG College of Technology, Tamilnadu
  • Wassim Ferose Habeebrakuman PSG College of Technology, Tamilnadu
  • Kalaikamal Mohan PSG College of Technology, Tamilnadu

DOI:

https://doi.org/10.5566/ias.v31.p185-191

Keywords:

color image, lone diagonal sorting, mean square error, peak signal to noise ratio, salt and pepper noise

Abstract

In this paper a novel Lone Diagonal Sorting (LDS) algorithm for denoising color images and videos co-rrupted with salt and pepper noise is proposed. The proposed lone diagonal sorting algorithm uses diagonal sorting alone for denoising of impulse noise. The algorithm has been implemented and tested for various color images and video signals and appreciable performance in terms of PSNR, MSE and SSIM is obtained. Our algorithm has been compared with other standard algorithms. A drastic improvement in the computational time has been achieved without compromising much on the visual quality after reconstruction.

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Published

2012-11-28

Issue

Section

Original Research Paper

How to Cite

Arumugham, R., Vellingiri, K., Habeebrakuman, W. F., & Mohan, K. (2012). A NEW DENOISING APPROACH FOR THE REMOVAL OF IMPULSE NOISE FROM COLOR IMAGES AND VIDEO SEQUENCES. Image Analysis and Stereology, 31(3), 185-191. https://doi.org/10.5566/ias.v31.p185-191