Earticle

초록

영어

For movement target, image recognition with blur is a difficult problem to solve in image acquisition system. The paper proposes an image restoration algorithm based on inverse filtering and wiener filtering. According to original image of movement target by acquisition system, it analyses frequency spectrum characteristic, builds restoration model for image degradation, researches inverse filtering and wiener filtering technologies of image preprocessing algorithm and image restoration algorithm. Further it explains image quality assessment method, discusses objective assessment method without reference in detail. Dealing with the movement target image of actual acquisition, some images are processed based on the restoration method which proved. By contrasting algorithm with result, the restoration method is valid to eliminate blur and noise of disturbing influence from target moving, which proposed combining with inverse filtering and wiener filtering. The result shows that the edge characteristic is obvious and propitious to reflect original target actually.

목차

Abstract
 1. Introduction
 2. Image Existing Problem of Dynamic Target
 3. Results and Analysis Image Restoration Algorithm
  3.1. Frequency Spectrum Character Analysis under Movement State
  3.2. Improved Restoration Algorithm of Inverse Filtering
  3.3. Improved Restoration Algorithm of Wiener Filtering
 4. Quality Assessment after Image Restored
  4.1. The Average Gray Gradient Method
  4.2. Method of Laplacian
 5. Results and Analysis
 6. Conclusion
 References

키워드

저자

• Hua Xiang [ Xi’an Technological University, Weiyang District School Road, Xi’an, China ]

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