Soft computing method for the removal of pixelation in microendoscopic images

Molly M. Dickens; Michael P. Houlne; Sunanda Mitra; Darryl J. Bornhop

doi:10.1117/12.284213

13 October 1997 Soft computing method for the removal of pixelation in microendoscopic images

Molly M. Dickens, Michael P. Houlne, Sunanda Mitra, Darryl J. Bornhop

Proceedings Volume 3165, Applications of Soft Computing; (1997) https://doi.org/10.1117/12.284213
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

Abstract

Flexible micro-endoscopes with dimensions of as small as 1.0 mm in outer diameter and as long as 3.0 m in length produce images that have a 'honeycomb' pattern due to the spaces between the individual collection optical fibers contained in the imaging conduit. This pattern is found to exhibit a definable spatial frequency that is discrete from that of the desired information or the actual images of interest. By applying a filter and by sharpening the contrast between adjacent pixels, it was possible to remove the honeycomb pattern without significant degradation to the visual quality of the image. The technique described employs Fourier analysis to analyze the image so as to define the 'noise' component. Then a discrete band-reject frequency filter was applied to both the original and sharpened images, resulting in the effective removal of the honeycomb pattern. The advantages and limitations of the image processing technique are discussed.

Citation Download Citation

Molly M. Dickens, Michael P. Houlne, Sunanda Mitra, and Darryl J. Bornhop "Soft computing method for the removal of pixelation in microendoscopic images", Proc. SPIE 3165, Applications of Soft Computing, (13 October 1997); https://doi.org/10.1117/12.284213

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