Earticle

초록

영어

Mixed noises are a characteristic of combined noises acting on a single carrier. Various mechanisms in recent past have been given in literature to restore images corrupted with Poisson and impulse mixed noise. This paper compares mixed noise removal techniques such as: Peer Group averaging (PGA), Vector Median Filter (VMF), Vector Direction Filter (VDF), Fuzzy Peer Group Averaging (FPGA), and Fuzzy Vector Median Filter (FVMF) on the basis of performance metrics such as Peak Signal to Noise Ratio (PSNR), Mean Absolute Error (MAE), Mean Square Error (MSE) and time complexity. The image size and the noise density is varied so as record these performance metrics. All the above mentioned techniques were implemented in MATLAB-11. The simulation and result shows that FVMF introduces blurring of edged but provide an output of highest PSNR value, especially for large sized images. However, for smaller images PGA provides best results of PSNR and hence a good quality of de-noised image. Also it is observed that with increase in image size the quality of the resulting image improves as the value of PSNR also increases but on increasing the impulse noise density with constant image size the image quality decreases with a constant decrease in the PSNR value.

목차

Abstract
 1. Introduction
 2. Techniques Compared
  2.1. Average Median Filter (AMF)
  2.2. Weiner filter
  2.3. Vector Median Filter(VMF)
  2.4. Vector Directional Filter
  2.5. Peer Group Averaging Filter(PGA)
  2.6. Fuzzy Vector Median Filter (FVMF)
  2.6. Fuzzy Peer Group Averaging (FPGA)
 3. Experimental setup
  3.1.Performance Metrices
  3.2. Simulation Setup
 4. Result
  4.1. Impact on PSNR, MSE, MAE
  4.2. Qualitative Analysis
  4.3. Time complexity
 5. Conclusion
 References

키워드

저자

• Ajay Kumar Nain [ Electronics and Communication Engineering Department, YMCA University of Science and Technology, Faridabad, India ]
• Surbhi Singhania [ 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