Earticle

초록

영어

This paper compares the standard Bilateral Filter and its variants such as Modified Bilateral Filter(MBF), Joint Bilateral Filter(JBF), Fuzzy Bilateral Filter(FBF) and Switching Bilateral Filter(SBF). For comparison purpose various performance matrices such as: Peak Signal to Noise Ratio(PSNR), Mean Square Error(MSE), Mean Absolute Error(MAE), Normalized Color Difference(NCD), Perceptual Quality and Time complexity are used . All the techniques are implemented using simulation in MATLAB-9. It is found that the standard BF is the best technique to remove Gaussian noise from images with high PSNR value. However when the image is corrupted with mixed Gaussian and impulse noise, SBF gives the best results of PSNR value, MSE value, MAE value , NCD value and a good picture quality of de-noised image.

목차

Abstract
 1. Introduction
 2. Filtering Techniques
  A. Bilateral Filter (BF)
  B. Modified Bilateral Filter (MBF)
  C. Joint Bilateral Filter (JBF)
  D. Fuzzy Bilateral Filter (FBF)
  E. Switching Bilateral Filter (SBF)
 3. Simulation Setup Parameters
 4. Performance Metrics for Simulation
 5. Result Analysis
 6. Conclusion
 References

키워드

저자

• Manjeet Kaur [ Electronics and Communication Engineering Department, YMCA University of Science and Technology, Faridabad, India ]
• Shailender Gupta [ Electronics and Communication Engineering Department, YMCA University of Science and Technology, Faridabad, 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