Silva et al. - 2016 - A Novel Adaptive Shading Correction Algorithm for .pdf (1.37 MB)
A novel adaptive shading correction algorithm for camera systems
conference contribution
posted on 2017-02-13, 09:55 authored by Varuna De Silva, Viacheslav Chesnokov, Daniel LarkinLens Vignetting is a common distortion in imaging systems where the intensity of the image decreases gradually away from the image center. Incorrect compensation of this luminance degradation often results in a more disturbing artifact called color shading, where the resulting image is left with shades of different colors. This paper presents a novel adaptive technique to compensate for lens Vignetting, while preserving color saturation and eliminating the need for per-unit calibration. As a consequence, the performance of automatic white balance algorithms have also been improved. The proposed algorithm is lightweight and realizable on FPGA architecture for real time Vignetting correction. The experimental results indicate a significant improvement in the quality of the corrected images. It is expected that the proposed algorithm will be implemented on mobile Image Signal Processors (ISPs) in the near future.
History
School
- Loughborough University London
Published in
Digital Photography and Mobile Imaging XIICitation
DE SILVA, V., CHESNOKOV, V. and LARKIN, D., 2016. A novel adaptive shading correction algorithm for camera systems. Electronic Imaging, Digital Photography and Mobile Imaging XII, pp. 1-5.Publisher
© Society for Imaging Science and TechnologyVersion
- VoR (Version of Record)
Publisher statement
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/Publication date
2016Notes
Presented at the Digital Photography and Mobile Imaging XII, San Fransisco, California, USA, February 14-18th 2016. Reprinted with permission of IS&T: The Society for Imaging Science and Technology sole copyright owners of Electronic Imaging, Digital Photography and Mobile Imaging XIII.”ISSN
2470-1173Publisher version
Language
- en
Location
San Fransisco, California, USAAdministrator link
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