Share Email Print
cover

Proceedings Paper

The restoration of CW THz images based on phase analysis
Author(s): Qian Song; Fei Yu; Yuejin Zhao; Cunlin Zhang; Qian Yu; Ming Liu; Xiaohua Liu
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

The method about how to distinguish the object from the standing wave, eliminate the wave patterns in CW THz images based on phase analysis is reported. The standing wave of CW THz images result from the interference of the wave-front reflected from the object and other optics in the system. Therefore, the information of the surface of the object and the background is included in the interference pattern of the images. Because the objects have different Phase Gradients from the background, they could be extracted from the image by utilizing the phase information of the interferential waves. The waves of the image can be removed with Election-pass filter, and the result of the filtering would not deteriorate the result because there is no object in the image. At last, the image of object and the image without standing wave can be fused together to make the image better for eyes. The scope of CW THz imaging's application can be extended and the quality of images can be improved by applying this approach.

Paper Details

Date Published: 3 September 2009
PDF: 11 pages
Proc. SPIE 7443, Applications of Digital Image Processing XXXII, 74432G (3 September 2009); doi: 10.1117/12.825306
Show Author Affiliations
Qian Song, Beijing Institute of Technology (China)
Rensselaer Polytechnic Institute (United States)
Fei Yu, Beijing Institute of Technology (China)
Yuejin Zhao, Beijing Institute of Technology (China)
Cunlin Zhang, Capital Normal Univ. (China)
Qian Yu, Beijing Institute of Technology (China)
Ming Liu, Beijing Institute of Technology (China)
Xiaohua Liu, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 7443:
Applications of Digital Image Processing XXXII
Andrew G. Tescher, Editor(s)

© SPIE. Terms of Use
Back to Top