Earticle

초록

영어

Aiming at the visual effect and the fusion quality is poor of the traditional image fusion algorithm, the new fusion algorithm is adopted that combining the Canny operator with taking big window contrast. The algorithm uses wavelet transform to the original images are decomposed firstly, the process will be based on the frequency characteristics of the image information to form two pieces of information, low frequency and high frequency information. Low frequency subband uses weighted average fusion algorithm, while high frequency subband uses the algorithm which combines Canny operator with taking big window contrast, the last fusion image is got from the wavelet reconstruction in contrast to the principle of wavelet decomposition . The corresponding simulation analysis was carried out on the fusion algorithm, and the visual effect is more clear. Also the object evaluation standard increased significantly.

목차

Abstract
 1. Introduction
 2. The Theoretical Basis of Image Wavelet Decomposition
 3. Fusion Method
  3.1. The Direction of Contrast
  3.2. Canny Operator
  3.3. Based on the Wavelet Image Fusion Algorithm of Improved Contrast and Canny Operator
 4. Evaluation of the Quality from Fusion Image
 5. The Experimental Results
 References

키워드

저자

• Liying Yuan [ College of Automation, Harbin University of Science and Technology, Harbin, China ]
• Xue Xu [ College of Automation, Harbin University of Science and Technology, Harbin, China ]

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