基于动态视觉传感器的高速图像恢复
Paul K J Park1,2, Junseok Kim1, Juhyun Ko1
1Samsung Electronics, Hwaseong 18448, Gyeonggi-do, Republic of Korea.
Sensors (Basel, Switzerland)
|February 13, 2026
概括
本研究介绍了使用动态视觉传感器 (DVS) 的移动摄像头的基于事件的模糊消除技术. 它克服了图像文物,显著提高了消除模糊的性能和图像质量.
科学领域:
- 计算机视觉 计算机视觉
- 图像处理 图像处理
- 传感器技术 传感器技术
背景情况:
- 运动模糊是移动摄影中常见的缺陷,降低了图像质量.
- 动态视觉传感器 (DVS) 为移动模糊补偿提供快速,基于事件的数据捕获.
- 现有的基于事件的方法受到了诸如颜色幽灵和噪音等工件的损害.
研究的目的:
- 开发和演示使用动态视觉传感器 (DVS) 的按需消除模糊的技术.
- 解决和克服以事件为基础的视觉传感器固有的文物,以改善图像恢复.
- 通过提高消除模糊的功能来提高移动摄影的性能.
主要方法:
- 使用动态视觉传感器 (DVS) 进行基于事件的数据采集.
- 开发了基于事件的补偿技术:交叉相关性优化,对比度最大化和差异匹配.
- 实现了分辨率不匹配补偿,包括用于传感器对齐的事件上抽样.
主要成果:
- 实现了显著改善的消除模糊性能.
- 像峰值信号与噪声比率 (PSNR),结构相似度指数 (SSIM) 和空间频率响应 (SFR) 等关键指标显示出了显著的改善.
- 提出的技术有效地减轻了诸如颜色幽灵和事件噪音之类的工件.
结论:
- 开发的基于事件的补偿技术成功克服了DVS数据中的工件.
- 拟议的图像恢复方法大大提高了移动摄像机的模糊处理性能.
- 这种技术有可能在未来的移动摄影应用中得到广泛的应用.
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