Open access database for experimental validations of holographic compression engines

Blinder, David; Ahar, Ayyoub; Symeonidou, Athanasia; Xing, Yafei; Bruylants, Tim; Schreites, Colas; Pesquet‐Popescu, Béatrice; Dufaux, Frédéric; Munteanu, Adrian; Schelkens, Peter

doi:10.1109/qomex.2015.7148145

Cited by 34 publications

(21 citation statements)

References 24 publications

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“…This data is becoming the true benchmarking set used nowadays. Currently, the main databases are as follows: Interfere database Consist of two sets of computer generated holograms, which may be one of the most important applications of holography. This database has two sets of computed generated holograms: an original one and a more recent one that enlarges the diversity (represented in Figures and respectively). b<>com holographic database This database is composed of colored computer generated holograms, calculated from synthetic 3D models or multiview‐plus‐depth data (Figure ).…”

Section: Quality Evaluationmentioning

confidence: 99%

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JPEG Pleno: Providing representation interoperability for holographic applications and devices

et al. 2019

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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.

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Section: Quality Evaluationmentioning

confidence: 99%

“…• Interfere database [45] Consist of two sets of computer generated holograms, which may be one of the most important applications of holography. This database has two sets of computed generated holograms: an original one and a more recent one that enlarges the diversity (represented in Figures 5 and 6 respectively).…”

Section: Collection Of Test Datamentioning

confidence: 99%

JPEG Pleno: Providing representation interoperability for holographic applications and devices

et al. 2019

Self Cite

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“…In the last few years, some research groups have publicly released their own samples, to attempt to mitigate this problem. In [58], the dataset Interfere I has been proposed. The samples are both two-dimensional and three-dimensional and they have been generated with an algorithm created by the authors that supports the occlusion effect.…”

Section: Digital Hologram Reference Datasetsmentioning

confidence: 99%

Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography

et al. 2019

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Digital holography represents a novel media which promises to revolutionize the way the users interacts with content. This paper presents an in-depth review of the state-of-the-art algorithms for advanced processing and rendering of computer-generated holography. Open-access holographic data are selected and characterized as references for the experimental analysis. The design of a tool for digital hologram rendering and quality evaluation is presented and implemented as an open-source reference software, with the aim to encourage the approach to the holography research area, and simplify the rendering and quality evaluation tasks. Exploration studies focused on the reproducibility of the results are reported, showing a practical application of the proposed architecture for standardization activities. A final discussion on the results obtained is reported, also highlighting the future developments of the reconstruction software that is made publicly available with this work.

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“…The eight CGHs represented in Figs. 5 and 6 were selected from Interfere-I and Interfere-II databases, respectively [50].…”

Section: Used Datamentioning

confidence: 99%

Holographic representation: Hologram plane vs. object plane

Bernardo

Fernandes

Arrifano

et al. 2018

Signal Processing: Image Communication

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Digital holography allows the recording, storage and subsequent reconstruction of both amplitude and phase of the light field scattered by an object. This is accomplished by recording interference patterns that preserve the properties of the original object field essential for 3D visualization, the so-called holograms. Digital holography refers to the acquisition of holograms with a digital sensor, typically a CCD or a CMOS camera, and to the reconstruction of the 3D object field using numerical methods. In the current work, the different representations of digital holographic information in the hologram and in the object planes are studied. The coding performance of the different complex field representations, notably Amplitude-Phase and Real-Imaginary, in both the hologram plane and the object plane, is assessed using both computer generated and experimental holograms. The HEVC intra main coding profile is used for the compression of the different representations in both planes, either for experimental holograms or computer generated holograms. The HEVC intra compression in the object plane outperforms encoding in the hologram plane. Furthermore, encoding computer generated holograms in the object plane has a larger benefit than the same encoding over the experimental holograms. This difference was expected, since experimental holograms are affected by a larger negative influence of speckle noise, resulting in a loss of compression efficiency. This work emphasizes the possibility of holographic coding on the object plane, instead of the common encoding in the hologram plane approach. Moreover, this possibility allows direct visualization of the Object Plane Amplitude in a regular 2D display without any transformation methods. The complementary phase information can easily be used to render 3D features such as depth map, multi-view or even holographic interference patterns for further 3D visualization depending on the display technology.

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Open access database for experimental validations of holographic compression engines

Cited by 34 publications

References 24 publications

JPEG Pleno: Providing representation interoperability for holographic applications and devices

JPEG Pleno: Providing representation interoperability for holographic applications and devices

Recent Advances in the Processing and Rendering Algorithms for Computer-Generated Holography

Holographic representation: Hologram plane vs. object plane

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