Methods for removing honeycomb noise from fiber endoscopic images

Fang Fang; Meirong Lin; Yu Guo; Yue Zhang; Xianghong Zhong; Baozheng Zhang

doi:10.1117/12.403925

11 October 2000 Methods for removing honeycomb noise from fiber endoscopic images

Fang Fang, Meirong Lin, Yu Guo, Yue Zhang, Xianghong Zhong, Baozheng Zhang

Proceedings Volume 4224, Biomedical Photonics and Optoelectronic Imaging; (2000) https://doi.org/10.1117/12.403925
Event: Optics and Optoelectronic Inspection and Control: Techniques, Applications, and Instruments, 2000, Beijing, China

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.

Citation Download Citation

Fang Fang, Meirong Lin, Yu Guo, Yue Zhang, Xianghong Zhong, and Baozheng Zhang "Methods for removing honeycomb noise from fiber endoscopic images", Proc. SPIE 4224, Biomedical Photonics and Optoelectronic Imaging, (11 October 2000); https://doi.org/10.1117/12.403925

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KEYWORDS

Image processing

Fourier transforms

Image quality

Image visualization

Visualization

Linear filtering

Spatial filters

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