Earticle

초록

영어

Noise not only deteriorates image quality but also may result in loss of important information hidden in images (i.e. medical applications). Various types of noises are available in literature such as Gaussian noise, impulse noise, mixed noise etc. In order to remove these noises from images, bilateral filters and its variants are used. This paper surveys the impact of these techniques using several performance metrics such as Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Mean Absolute Error (MAE) and Time Complexity. For this purpose a simulator is designed in MATLAB to implement these techniques. The results show that Joint Bilateral Filter (JBF) technique is the best technique for removing Gaussian noise, Modified Double Bilateral Filter (MDBF) technique provides good results for removing impulse noise and Switching Bilateral Filter (SBF) technique work well for mixed noise as seen from results.

목차

Abstract
 1. Introduction
 2. Literature Survey of Various Bilateral Filter Techniques
  2.1 Bilateral Filter
  2.2 Adaptive Bilateral Filter
  2.3 Modified Double Bilateral Filter
  2.4 Switching Bilateral Filter
  2.5 Joint Bilateral Filter
 3. Simulation set up
  3.1 Performance Evaluation Metrics
  3.2 Set up Parameters:
 4. Results
  4.1 Perceptual Quality
  4.2 Impact on PSNR, MSE, MAE, NCD
  4.3 Impact on Time Complexity
 5. Conclusions
 References

키워드

저자

• Sweety Deswal [ YMCA University of science and technology, Faridabad, India ]
• Shailender Gupta [ YMCA University of science and technology, Faridabad, India ]
• Bharat Bhushan [ 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