101
Views
1
CrossRef citations to date
0
Altmetric
Articles

Edge-based vignetting factor estimation and correction comparative analysis

Pages 299-307 | Received 23 Nov 2016, Accepted 29 May 2017, Published online: 20 Jun 2017
 

ABSTRACT

An edge-based (EB) iterative method for estimating the vignetting factor f from a vignette image is devised which assumes a radial brightness falloff associated with the existing vignetting effect. The method exploits the maximum value for an F valued image that is characterized by 8-bit integers {0,1,2, … ,255} away from the image centre. Additionally, the vignette factor f estimation is performed using the radial gradient method on a series of images with explicitly simulated and unknown source vignetting. Both techniques are implemented and compared such that the estimated vignette factor f and the vignette corrected images are assessed to determine deviation in the respective methods as well as their accuracy in controlled experiments.

Disclosure statement

No potential conflict of interest was reported by the author.

Notes on contributor

Travis Ramsay is pursuing his Ph.D. in Mechanical Engineering at Iowa State University (U.S.A.). Ramsay’s research focuses on coupled processes in computational mechanics. His previously obtained degrees include an Honors Bachelor of Science in Earth Science with a focus in Geomatics from York University (Canada) and a Master’s in Geology and Physics with a focus in Geodynamics from the University of Toronto (Canada).

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 305.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.