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Title: A novel adaptive shading correction algorithm for camera systems
Authors: De Silva, Varuna
Chesnokov, Viacheslav
Larkin, Daniel
Issue Date: 2016
Publisher: © Society for Imaging Science and Technology
Citation: 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.
Abstract: Lens 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.
Description: 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.”
Version: Published
DOI: 10.2352/ISSN.2470-1173.2016.18.DPMI-249
URI: https://dspace.lboro.ac.uk/2134/24089
Publisher Link: http://dx.doi.org/10.2352/ISSN.2470-1173.2016.18.DPMI-249
ISSN: 2470-1173
Appears in Collections:Conference Papers and Presentations (Loughborough University London)

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