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논문검색

An Improved Adaptive Bilateral Filter to Remove Gaussian Noise from Color Images

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

저자정보

  • 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

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