NDLI: Chaos-based image assessment for THz imagery

Content Provider	IEEE Xplore Digital Library
Author	Blasch, E.P. Jianbo Gao Wen-Wen Tung
Copyright Year	2012
Description	Author affiliation: Earth and Atmospheric Sciences, Purdue University, West Lafayette, Indiana, 47907, USA (Wen-Wen Tung) \|\| Air Force Research Lab, Information Directorate, Rome, NY, 13441, USA (Blasch, E.P.) \|\| Mechanical and Materials Eng., Wright State University, Dayton, Ohio, 45435, USA (Jianbo Gao)
Abstract	Multiscale image processing is a powerful technique that can determine image characteristics (e.g. clutter), provide denoising, and determine object features. Imagery is highly nonstationary (i.e. mean and variance change with location and time) and multiscaled (i.e. dependent on the spatial or temporal interval lengths). In this paper, we utilize the scale-dependent Lyapunov exponent (SDLE), which unifies the principles of fractal and chaos theory, to characterize the different signal behaviors on a wide range of scales simultaneously. Commonly used complexity measures, including those from information theory, chaos theory, and random fractal theory, can all be related to the values of the SDLE at specific scales, and therefore, SDLE can act as the basis for a unified theory of multiscale analysis of complex imagery data. We describe the power-law and singular-value decomposition (SVD) for image processing and demonstrate a SDLE example using TeraHertz (THz) imagery for concealed target image fusion.
Starting Page	360
Ending Page	365
File Size	624122
Page Count	6
File Format	PDF
ISBN	9781467303811
e-ISBN	9781467303828
e-ISBN	9781467303804
DOI	10.1109/ISSPA.2012.6310576
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-02
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Chaos Image fusion Fractals Noise Correlation Visualization Time series analysis singular-value decomposition Image Processing scale-dependent Lyapunov exponent TeraHertz
Content Type	Text
Resource Type	Article

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