Earticle

초록

영어

Introduction of noise in image causes variation in brightness or colour information. Various noises such as Gaussian, Impulse, Speckle, Periodic andPoisson noise deteriorates the picture quality. Gaussian noise is the most popular one that incurs during acquisition process caused by poor illumination and/or high temperature. This paper proposes an improved modified adaptive Bilateral Filter to remove Gaussian noise from colour images. This technique is implemented in MATLAB-9 and various performance metrics taken into consideration are: Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE), Mean Absolute Error (MAE), and Normalized Colour Difference (NCD). The result shows that the proposed technique gives the best results than all other techniques in terms of all comparison parameters.

목차

Abstract
 1. Introduction
 2. Literature Survey and Problem Formulation
 3. The Proposed Technique
 4. Performance Metrics for Comparison
 5. Results
 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 ]
• Bharat Bhushan [ 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