A performance comparison of de-convolution algorithms on transmission terahertz images

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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. © 2009 Springer 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 Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5807 LNCS, pp. 222–229). https://doi.org/10.1007/978-3-642-04697-1_21

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