Parameter Blending for Multi-Camera Harmonization for Automotive Surround View Systems
<|reference_start|>Parameter Blending for Multi-Camera Harmonization for Automotive Surround View Systems: In a surround view system, the image color and tone captured by multiple cameras can be different due to cameras applying auto white balance (AWB), global tone mapping (GTM) individually for each camera. The color and brightness along stitched seam location may look discontinuous among multiple cameras which impacts overall stitched image visual quality. To improve the color transition between adjacent cameras in stitching algorithm, we propose harmonization algorithm which applies before stitching to adjust multiple cameras' color and tone so that stitched image has smoother color and tone transition between adjacent cameras. Our proposed harmonization algorithm consists of AWB harmonization and GTM harmonization leveraging Image Signal Processor (ISP)'s AWB and GTM metadata statistics. Experiment result shows that our proposed algorithm outperforms global color transfer method in both visual quality and computational cost.<|reference_end|>
@article{ren2024parameter,
    title={Parameter Blending for Multi-Camera Harmonization for Automotive
  Surround View Systems},
    author={Yuzhuo Ren, Yining Deng, David Pajak, Robin Jenkin, Niranjan
  Avadhanam, Varsha Hedau},
    journal={arXiv preprint arXiv:2406.11066},
    year={2024},
    archivePrefix={arXiv},
    eprint={2406.11066},
    primaryClass={cs.CV}
}