A recent article in the Opto-Electronic Advances(OEA)journal from Prof.Qian Chen and Prof.Chao Zuo’s group introduced a new and efficient 3D imaging system that captures high-speed images using deep learning-enabled ...A recent article in the Opto-Electronic Advances(OEA)journal from Prof.Qian Chen and Prof.Chao Zuo’s group introduced a new and efficient 3D imaging system that captures high-speed images using deep learning-enabled fringe projection profilometry(FPP).In this News&Views article,we explore potential avenues for future advancements,including expanding the measurement range through an extended number-theoretical approach,enhancing quality through the incorporation of horizontal fringes,and integrating data from other modalities to broaden the system's applications.展开更多
While 60 years of successful application of holography is celebrated in this special issue,efficient representation and compression of holographic data has received relatively little attention in research.Notwithstand...While 60 years of successful application of holography is celebrated in this special issue,efficient representation and compression of holographic data has received relatively little attention in research.Notwithstanding this observation,and particularly due to the digitization that is also penetrating the holographic domain,interest is growing on how to efficiently compress holographic data such that interactive exchange of content,as well as digital storage can be facilitated proficiently.This is a particular challenge,not only because of its interferometric nature and the various representation formats,but also the often extremely large data volumes involved in pathological,tomographic,or high-end visualization applications.In this paper,we provide an overview of the state of the art in compression techniques and corresponding quality metrics for various practical applications in digital holography.We also consider the future by analyzing the emerging trends for addressing the key challenges in this domain.展开更多
文摘A recent article in the Opto-Electronic Advances(OEA)journal from Prof.Qian Chen and Prof.Chao Zuo’s group introduced a new and efficient 3D imaging system that captures high-speed images using deep learning-enabled fringe projection profilometry(FPP).In this News&Views article,we explore potential avenues for future advancements,including expanding the measurement range through an extended number-theoretical approach,enhancing quality through the incorporation of horizontal fringes,and integrating data from other modalities to broaden the system's applications.
文摘While 60 years of successful application of holography is celebrated in this special issue,efficient representation and compression of holographic data has received relatively little attention in research.Notwithstanding this observation,and particularly due to the digitization that is also penetrating the holographic domain,interest is growing on how to efficiently compress holographic data such that interactive exchange of content,as well as digital storage can be facilitated proficiently.This is a particular challenge,not only because of its interferometric nature and the various representation formats,but also the often extremely large data volumes involved in pathological,tomographic,or high-end visualization applications.In this paper,we provide an overview of the state of the art in compression techniques and corresponding quality metrics for various practical applications in digital holography.We also consider the future by analyzing the emerging trends for addressing the key challenges in this domain.
