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Proceedings Paper

Methods for removing honeycomb noise from fiber endoscopic images
Author(s): Fang Fang; Meirong Lin; Yu Guo; Yue Zhang; Xianghong Zhong; Baozheng Zhang
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Paper Abstract

The fiber-endoscope has been widely used in medicine. The image fiber bundle usually has pixels from several thousands to tens of thousand. Because of the non-transparent wall cladding of individual fibers, the images putout by the image fiber bundle present honeycomb pattern (noise). It will influence the image visual effect, so it is very important to find methods to remove these honeycomb noise and improve the image quality. In this paper, three methods were used to process the fiber-endoscopic images for removing the honeycomb noise. First, low-pass spatial filtering mask was used to process the image. Secondly, the image special frequency was gotten by Fourier transform, and the honeycomb pattern frequency is separated from the image message. It's possible to remove these honeycomb pattern frequency without degrading the image quality. Finally, the linear interpolation method was used to process the image. We compared the processing results of these methods. These methods can be used in real color images as well as gray level images.

Paper Details

Date Published: 11 October 2000
PDF: 4 pages
Proc. SPIE 4224, Biomedical Photonics and Optoelectronic Imaging, (11 October 2000); doi: 10.1117/12.403925
Show Author Affiliations
Fang Fang, Nankai Univ. (China)
Meirong Lin, Nankai Univ. (China)
Yu Guo, Nankai Univ. (China)
Yue Zhang, Nankai Univ. (China)
Xianghong Zhong, Nankai Univ. (China)
Baozheng Zhang, Nankai Univ. (China)


Published in SPIE Proceedings Vol. 4224:
Biomedical Photonics and Optoelectronic Imaging
Hong Liu; Qingming Luo, Editor(s)

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