Restricted by the device fabrication technology, traditional scanning imaging system can not get high spatial resolution, and it's difficult to get a line array whose sensor number is over 6000. A kind of non-conventional fiber bundle is designed to couple information. Using existing small scale plane arrays to receive the signals of the fiber bundle's output can acquire ultra-high spatial resolution image. However, owing to the special structure of the bundle, the image processing is very complicated. Double module extremum filter algorithm is proposed in this paper. This algorithm can eliminate the blind pixels caused by broken fibers, locate the center of each fiber in the output terminal of fiber, recover
the input images completely, and achieve the spatial transform.
To obtain ultra-high spatial resolution image, a kind of non-conventional fiber bundle, whose input is line array while
output plane array, has been designed. The input terminal of the fiber bundle is set at the focal plane of scanning
imaging system. A plane array is set behind the output terminal to receive the information coupled by the fiber bundle.
The coordinates of each fiber in the output terminal and position mapping relationship between output and input of
each fiber in the fiber bundles must be ascertained when the fiber bundle is used in scanning image system. However,
limited by the fiber bundle manufacture technology, the fiber bundle output structure is not strictly aligned. There is
position error in both horizontal and vertical directions in every row and column, especially at the boundary of bundle,
which causes great difficulties in restoring the object image. An algorithm based on Kalman Filter, aiming at the
coordinates error, is proposed in this paper. By searching fiber center's position one by one in the output array, the
coordinates table of the output is established, and the position mapping relationship between output and input is built.
With the table, we can fully acquire the information of the scanning image system and restore the object image.