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引用次数: 0

摘要

计算成像是指通过优化设计的、特定任务的、多模态的图像传感器和光学元件来感知现实世界,这些传感器和光学元件主动探测关键的视觉信息。随着人工智能算法和强大硬件的进步,计算成像在许多方面显著提高了手机的图像和视频质量,这不仅有利于计算机视觉任务,而且还导致了新颖的硬件,如人工智能图像传感器,人工智能ISP(图像信号处理)芯片和人工智能相机系统。在这次演讲中,我将介绍几项最新的研究成果,包括从飞行时间传感器或单目视频中获得高质量的图像恢复和精确的深度估计,以及智能手机中最新的计算摄影产品,包括屏下相机,人工智能图像传感器和人工智能ISP芯片。我还将提出这一领域的几个开放挑战和未来的研究方向。
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Advances of Computational Imaging on Mobile Phones
Computational imaging refers to sensing the real world with optimally designed, task-specific, multi-modality image sensors and optics which actively probes key visual information. Together with advances in AI algorithms and powerful hardware, computational imaging has significantly improved the image and video quality of mobile phones in many aspects, which not only benefits computer vision tasks but also results in novel hardware, such as AI image sensors, AI ISP (Image Signal Processing) chips, and AI camera systems. In this talk, I will present several latest research results including high quality image restoration and accurate depth estimation from time-of-flight sensors or monocular videos, as well as some latest computational photography products in smart phones including under-display cameras, AI image sensors and AI ISP chips. I will also layout several open challenges and future research directions in this area.
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In-training Restoration Models Matter: Data Augmentation for Degraded-reference Image Quality Assessment Unlocking the Potential of Disentangled Representation for Robust Media Understanding Visual Signal Assessment, Analysis and Enhancement for Low-resolution or Varying-illumination Environment Advances of Computational Imaging on Mobile Phones Proceedings of the 2nd International Workshop on Robust Understanding of Low-quality Multimedia Data: Unitive Enhancement, Analysis and Evaluation
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