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A Performance Comparison of De-convolution Algorithms on Transmission Terahertz Images

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Advanced Concepts for Intelligent Vision Systems (ACIVS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5807))

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Abstract

Terahertz imaging has found applications in many fields, to explore these applications we have built a coherent, transmission terahertz imaging system at 186 GHz. De-convolution algorithms were tested for improving the image’s resolution beyond the diffraction limit of the imaging system. Tested algorithms include the Wiener, Tikhonov, and Richardson-Lucy algorithms. Their performances are discussed and compared in this paper. Experimental results have demonstrated that coherent de-convolution algorithms are capable of improving the resolution of images formed with this imaging system.

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© 2009 Springer-Verlag Berlin Heidelberg

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Li, Y., Li, L., Tello, J., Popescu, D., Hellicar, A. (2009). A Performance Comparison of De-convolution Algorithms on Transmission Terahertz Images. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2009. Lecture Notes in Computer Science, vol 5807. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04697-1_21

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  • DOI: https://doi.org/10.1007/978-3-642-04697-1_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04696-4

  • Online ISBN: 978-3-642-04697-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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