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

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

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.

Original languageEnglish
Title of host publication2013 International Conference on Optical Instruments and Technology
Subtitle of host publicationOptoelectronic Imaging and Processing Technology
DOIs
Publication statusPublished - 2013
Event2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2013 - Beijing, China
Duration: 17 Nov 201319 Nov 2013

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume9045
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference2013 International Conference on Optical Instruments and Technology: Optoelectronic Imaging and Processing Technology, OIT 2013
Country/TerritoryChina
CityBeijing
Period17/11/1319/11/13

Keywords

  • Chirp signal
  • Film scanner
  • Fractional Fourier transform
  • Interference
  • Newton's rings

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