Paper
19 December 2013 Method for reducing Newton's rings pattern in the scanned image reproduced with film scanners
Ming-feng Lu, Guo-qiang Ni, Tao Wang, Feng Zhang, Ran Tao, Jun Yuan
Author Affiliations +
Proceedings Volume 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology; 904506 (2013) https://doi.org/10.1117/12.2035028
Event: International Conference on Optical Instruments and Technology (OIT2013), 2013, Beijing, China
Abstract
Newton’s rings pattern always blurs the scanned image when scanning a film using a film scanner. Such phenomenon is a kind of equal thickness interference, which is caused by the air layer between the film and the glass of the scanner. A lot of methods were proposed to prevent the interference, such as film holder, anti-Newton’s rings glass and emulsion direct imaging technology, etc. Those methods are expensive and lack of flexibility. In this paper, Newton’s rings pattern is proved to be a 2-D chirp signal. Then, the fractional Fourier transform, which can be understood as the chirp-based decomposition, is introduced to process Newton’s rings pattern. A digital filtering method in the fractional Fourier domain is proposed to reduce the Newton’s rings pattern. The effectiveness of the proposed method is verified by simulation. Compared with the traditional optical method, the proposed method is more flexible and low cost.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming-feng Lu, Guo-qiang Ni, Tao Wang, Feng Zhang, Ran Tao, and Jun Yuan "Method for reducing Newton's rings pattern in the scanned image reproduced with film scanners", Proc. SPIE 9045, 2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, 904506 (19 December 2013); https://doi.org/10.1117/12.2035028
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KEYWORDS
Image filtering

Fringe analysis

Scanners

Glasses

Image quality

Digital filtering

Image quality standards

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