A Novel Adaptive Shading Correction Algorithm for Camera Systems
Autor: | Varuna De Silva, Viacheslav Chesnokov, Daniel Larkin |
---|---|
Rok vydání: | 2016 |
Předmět: |
Artifact (error)
Vignetting business.industry Computer science Distortion (optics) ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Color balance 020207 software engineering 02 engineering and technology 01 natural sciences Luminance Color saturation law.invention Compensation (engineering) 010309 optics Lens (optics) law Computer graphics (images) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Computer vision Artificial intelligence Shading business |
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 |
Externí odkaz: |