Conference proceeding
Combining Infrared and Visible Images using Novel Transform and Statistical Information
2012 IEEE NINTH INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL-BASED SURVEILLANCE (AVSS), pp 149-153
01 Jan 2012
Abstract
This paper proposes a novel combining method of infrared (IR) and visible images based on a Discrete Wavelet Frame (DWF) approach. In contrast to existing methods, IR image is transformed first using statistical information of the visible image to emphasize relevant information. In a multiscale domain, we then assign appropriate weights to each pixel of sub-band approximation images through pixel level weighted average for emphasizing relevant information of the IR image while keeping texture information of the visible image. Representative experiments show that the proposed method outperforms exiting methods in image quality.
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Details
- Title
- Combining Infrared and Visible Images using Novel Transform and Statistical Information
- Creators
- Jeongmin Bae - Korea UniversityBonwha Ku - Korea UniversityDavid K. Han - Office of Naval ResearchHanseok Ko - Korea University
- Publication Details
- 2012 IEEE NINTH INTERNATIONAL CONFERENCE ON ADVANCED VIDEO AND SIGNAL-BASED SURVEILLANCE (AVSS), pp 149-153
- Publisher
- IEEE
- Number of pages
- 5
- Grant note
- WR080951 / Seoul R BD Program; Seoul RBD program
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Electrical and Computer Engineering
- Web of Science ID
- WOS:000311849200026
- Scopus ID
- 2-s2.0-84868261734
- Other Identifier
- 991021930828504721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Engineering, Electrical & Electronic