期刊
OPTICAL ENGINEERING
卷 46, 期 2, 页码 -出版社
SPIE-INT SOCIETY OPTICAL ENGINEERING
DOI: 10.1117/1.2434767
关键词
image restoration; scanners; image acquisition; image recording; image reconstruction; image processing; digital imaging
类别
We have developed a mapping algorithm for correcting sinusoidally scanned images from their distortions. Our algorithm is based on the close relationship between linear and sinusoidal scanning. Straightforward implementation of this algorithm showed that the mapped image has either missing lines or redundant lines. The missing lines were filled by fusing the mapped image with its median-filtered or interpolated version. The implementation of this algorithm shows that it is possible to retrieve up to 98% of the original image (depending on the algorithm used for data fusion) as measured by the recovered energy. Excellent correction was obtained for both simulated scanned images and actual images from a scanning laser radar system. (c) 2007 Society of Photo-Optical Instrumentation Engineers.
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