Journal
COMPUTERS & ELECTRICAL ENGINEERING
Volume 62, Issue -, Pages 375-383Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.compeleceng.2016.09.019
Keywords
Image fusion; Object region detection; The Non-Subsampled Contourlet Transform; Fusion rule
Categories
Funding
- National Natural Science Foundation of China, China [61305040]
- Fundamental Research Funds for the Central Universities, China [J13161305]
Ask authors/readers for more resources
This paper presents a new fusion algorithm for infrared (IR) and visible light (ViS) images by combining object region detection with the Non-Subsampled Contourlet Transform (NSCT). First, the saliency map for the IR image is acquired with saliency detection. Second, the object region in the IR image is extracted by introducing a free regions removal method. Third, source images are decomposed via NSCT and different fusion rules for low frequency sub-bands and high frequency sub-bands are employed. Then, the primary fused image is generated by the inverse NSCT. Finally, integrating the primary fused image with the object region, the final fused image is obtained. By conducting experiments, we compare our method to others using several metrics and results show that the proposed method can improve the quality of the fused image. (C) 2016 Elsevier Ltd. All rights reserved.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available