Earticle

초록

영어

This paper proposes a hybrid technique to remove impulse noise from digital images. In this approach the filtering operation is based on 33 neighborhood of pixel under consideration. During filtering, the properties of neighborhood are considered to check whether it is highly corrupted with noise, medium or only itself act as impulse. Based upon these properties a new hybrid technique has been proposed to process the pixel which further uses different schemes. The experiments have been performed at various noise levels on standard images as well as on real images. The results have been evaluated on the basis of metrics like Signal to noise ratio (SNR), Edge preservation index ( EPI), Structure similarity index measure (SSIM), Multi scale structure similarity index measure (MS-SSIM) and Peak signal to noise ratio ( PSNR). From the results, it has been observed that proposed technique has worked efficiently by preserving the edges and fine lines. To demonstrate the effectiveness of proposed technique, the results have also been compared with other well accepted denoising techniques

목차

Abstract
 1. Introduction
 2. Related Work
 3. Proposed Technique
  3.1. Schemes:
 4. Methodology
 5. Image Quality Assessment Metrics
  5.1. Signal to Noise Ratio (SNR)
  5.2. Edge Preservation Index (EPI)
  5.3. Structure Similarity Index Measure (SSIM)
  5.3. Multi-Scale Structure Similarity Index Measure (MS-SSIM)
 6. Results and Analysis
 7. Conclusion
 Acknowledgments
 References

키워드

저자

• Nirvair Neeru [ Department of Computer Engineering, Punjabi University Patiala, India ]
• Lakhwinder Kaur [ Department of Computer Engineering, Punjabi University Patiala, India ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605