Earticle

초록

영어

Due to the limitation of hardware, Infrared (IR) image has low-resolution (LR) and poor visual quality. To enhance the Infrared image’s resolution, super-resolution (SR) is a good solution. However, the conventional SR methods have some drawbacks. Firstly, the trained dictionary is an unstructured dictionary, which may lead to worse results. Secondly, the representation of the image is too simple to effectively represent image. Finally, only one high-resolution (HR)-LR dictionary pair is adopted to infer HR IR image. However one HR-LR dictionary pair is not good enough to obtain good results. To resolve these problems, in this paper, firstly, the sparse dictionary is introduced into the IR image SR to get better results. Secondly, nonsubsampled contourlet transform (NSCT) is employed to obtain a better representation of IR image. Finally, to achieve better r-esults, two HR–LR sparse dictionary pairs, which consists of a primitive sparse dictionary pair and a residual sparse dictionary pair, instead of one HR-LR dictionary pair are adopted. The experiment results indicate that the subjective visual effect and objective evaluation acquire excellent performance in the proposed method. Besides, this method is superior to other methods.

목차

Abstract
 1. Introduction
 2. Nonsampled Contourlet Transform Theory
 3. Infrared Image Super-Resolution Based on Sparse Dictionary and NSCT
  3.1. Sparse Dictionary
  3.2. Training Stage
  3.3. Super-Resolution Image Reconstruction
 4. Experimental Results and Discussion
  4.1. Comparison of Different Method
  4.2. Parameter Analysis
 5. Conclusion
 Acknowledgments
 References

키워드

저자

• Kangli Li [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ]
• Wei Wu [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ] Corresponding author
• Xiaomin Yang [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ]
• Yingying Zhang [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ]
• Binyu Yan [ School of Electronics and Information Engineering, Sichuan University, Chengdu, Sichuan, 610064 P.R.China ]
• Wei Lu [ School of software Engineering, Beijing Jiaotong University, Beijing 100044, P.R .China ]
• Gwanggil Jeon [ Department of Embedded Systems Engineering, University of Incheon ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Multimedia and Ubiquitous Engineering

• 간기

  월간

• pISSN

  1975-0080

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605