A Novel Adaptive Shading Correction Algorithm for Camera Systems

Autor: Varuna De Silva, Viacheslav Chesnokov, Daniel Larkin
Rok vydání: 2016
Předmět:
Zdroj: Digital Photography and Mobile Imaging
ISSN: 2470-1173
DOI: 10.2352/issn.2470-1173.2016.18.dpmi-249
Popis: 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.
Databáze: OpenAIRE