• Title/Summary/Keyword: JPEG Pleno Holography

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Recent Status of JPEG Pleno Holography Standardization (JPEG Pleno Holography 표준화 현황)

  • K.-J. Oh;Y. Lim;H.-G. Choo
    • Electronics and Telecommunications Trends
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    • v.38 no.2
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    • pp.66-74
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    • 2023
  • Holography is the most promising 3D imaging technology to faithfully record and reproduce light information. In addition, it is widely explored in metrology for applications such as microscopy and tomography because it can accurately measure 3D shapes. However, the data size of a digital hologram is very large, and the data characteristics are notably different from those of conventional 2D images. The Joint Photographic Experts Group (JPEG) is a group of experts from the International Organization for Standardization/International Electrotechnical Commission. This group develops and maintains standards for still image compression. In 2014, the JPEG released a new standard for 3D image compression called JPEG Pleno to represent light fields, point clouds, and holograms. Among them, JPEG Pleno Holography is the first international standard for hologram compression. We review recent advances in JPEG Pleno Holography standardization and discuss future directions of development.

Research and Standardization Trends of Digital Hologram Compression (디지털 홀로그램 압축 기술 및 표준화 동향)

  • Oh, K.J.;Park, J.
    • Electronics and Telecommunications Trends
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    • v.34 no.6
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    • pp.145-155
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    • 2019
  • Holography is a technique that can acquire and reproduce 3D objects nearly perfectly by representing both the amplitude and phase of light. Recently, digital holography has received considerable attention because it is simpler than analog holography from acquisition to reproduction. The data size of the digital hologram increases tremendously as the quality of digital holograms depends on their pixel pitch and resolution. Hence, efficient compression is necessary to realize holographic imaging services. In this report, we introduce recent digital hologram compression techniques and JPEG Pleno holography, which is the first international standardization activity for digital hologram compression. Furthermore, we discuss the future of this field.

JPEG Pleno: Providing representation interoperability for holographic applications and devices

  • Schelkens, Peter;Ebrahimi, Touradj;Gilles, Antonin;Gioia, Patrick;Oh, Kwan-Jung;Pereira, Fernando;Perra, Cristian;Pinheiro, Antonio M.G.
    • ETRI Journal
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    • v.41 no.1
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    • pp.93-108
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    • 2019
  • Guaranteeing interoperability between devices and applications is the core role of standards organizations. Since its first JPEG standard in 1992, the Joint Photographic Experts Group (JPEG) has published several image coding standards that have been successful in a plethora of imaging markets. Recently, these markets have become subject to potentially disruptive innovations owing to the rise of new imaging modalities such as light fields, point clouds, and holography. These so-called plenoptic modalities hold the promise of facilitating a more efficient and complete representation of 3D scenes when compared to classic 2D modalities. However, due to the heterogeneity of plenoptic products that will hit the market, serious interoperability concerns have arisen. In this paper, we particularly focus on the holographic modality and outline how the JPEG committee has addressed these tremendous challenges. We discuss the main use cases and provide a preliminary list of requirements. In addition, based on the discussion of real-valued and complex data representations, we elaborate on potential coding technologies that range from approaches utilizing classical 2D coding technologies to holographic content-aware coding solutions. Finally, we address the problem of visual quality assessment of holographic data covering both visual quality metrics and subjective assessment methodologies.

A new objective quality metric for phase hologram processing

  • Oh, Kwan-Jung;Kim, Jinwoong;Kim, Hui Yong
    • ETRI Journal
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    • v.44 no.1
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    • pp.94-104
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    • 2022
  • Because of its convenience and compatibility with various image processing techniques, digital image representation of holograms is generally used in digital holography, and thus, quality assessment of digital holograms is an essential issue. This study proposes a new objective quality metric for digital phase hologram image processing. The proposed metric is based on a newly defined phase distortion created by taking the 2π periodicity of phase information into account. The experimental results show that the proposed metric correlates with reconstruction image quality better than the existing metric under random distortions and also works well with JPEG 2000 compression. It is expected to be broadly used in phase image processing and compression applications including phase holograms.

Compression Performance Comparison of Fringe Pattern and Phase Data for DHM (DHM을 위한 간섭무늬 압축 방법과 위상 압축 방법의 성능 비교)

  • YoungMin Kim;Hyunmin Ban;Heeyeon Koo;SeungMi Choi;Kwan-Jung Oh;Yongjun Lim;Hui Yong Kim
    • Journal of Broadcast Engineering
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    • v.28 no.1
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    • pp.55-78
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    • 2023
  • The fringe pattern obtained through a DHM (Digital Holographic Microscopy) contains the thickness information of the sample. However, there is a disadvantage that the data capacity is large. Therefore, a compression method that can reduce the data size while minimizing damage to the thickness information of the sample contained in the fringe pattern is required. This paper presents the phase compression method and confirmed through experiments that the phase compression method is more efficient that the fringe pattern compression method used in JPEG Pleno Holography. As a result of evaluation using RMSE, BD-Rate and PSNR the phase compression method showed up to 92.39% improvement in performance than the fringe pattern compression method. In addition, experiment were conducted under various conditions to compare and analyze the compression performance for each condition. In the case of the fringe pattern compression method, it includes not only the phase information for calculating the thickness of the sample but also other information, whereas the phase compression method compresses only the phase information after removing unnecessary information from the fringe pattern. It is judged to have high performance.