Silva et al. - 2016 - A Novel Adaptive Shading Correction Algorithm for .pdf (1.37 MB)

A novel adaptive shading correction algorithm for camera systems

Download (1.37 MB)
conference contribution
posted on 13.02.2017, 09:55 by Varuna De Silva, Viacheslav Chesnokov, Daniel Larkin
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.
Logo branding

Categories

Keywords

History

School

  • Loughborough University London

Published in

Digital Photography and Mobile Imaging XII

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.

Publisher

© Society for Imaging Science and Technology

Version

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

2016

Notes

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

2470-1173

Language

en

Location

San Fransisco, California, USA

Exports

Logo branding

Categories

Keywords

Exports