Earticle

초록

영어

Blind image restoration is a kind method of image processing by estimating both the original image and the point spread function from degraded images, when there is unknown or not completely know the prior knowledge of the original image and point spread function of imaging. However, blind image restoration is a complex and intensive computing process, and increasing processing speed has been a hot research topic. In this paper, blind image restoration using Self-Deconvolution Data Reconstruction Algorithm (SeDDaRA) is realized by Model-Based Design Methodology. The simulation results show that the proposed algorithm is not only simple in structure and easy to implement, and can improve the processing speed with good scalability.

목차

Abstract
 1. Introduction
 2. The Basic Principle of Image Degradation
 3. The Method of Image Restoration by Wiener Filter
 4. The Method of Blind Image Restoration
 5. The Implementation of Blind Image Restoration by MBD
 Conclusion
 Acknowledgements
 References

키워드

저자

• Yongqiang Ma [ Department of Computer, Jining Normal University, Inner Mongolia, China ]
• Yang Nie [ Department of Physics, Jining Normal University, Inner Mongolia, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Smart Home

• 간기

  격월간

• pISSN

  1975-4094

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605