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Wave atoms for digital hologram compression. / Birnbaum, Tobias; Ahar, Ayyoub; Blinder, David; Schretter, Colas; Kozacki, Tomasz; Schelkens, Peter.

In: Applied Optics, Vol. 58, No. 22, 01.08.2019, p. 6193-6203.

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@article{90a1812b56704ddaa73cc4146402629d,
title = "Wave atoms for digital hologram compression",
abstract = "Compression of macroscopic digital holograms is a major research problem, which if unresolved will continue to limit the possible applications of holography in multimedia contexts. The quest of searching for the most suitable representation for compression is still an open problem. In this work, we study sparsification by the wave atom transform, introduced in 2006 by Demanet et al., and experiment on four large-scale representative diffuse macroscopic holograms while testing compressibility in the object plane, Fourier plane, and defocused plane representations, respectively. We demonstrate that it is a suitable nonadaptive, sparsifying transform for Fourier or defocused content, and by integration into the wave atom coding (WAC) method, we sketch a full-fledged codec for the compression of macroscopic holograms. WAC is compared to two variants of JPEG 2000, with equal complexity of coding tools, and the more recent High Efficiency Video Coding (H.265/HEVC). For Fourier and defocused holograms, WAC outperforms the JPEG 2000 variants by 0.9–7.9 dB Bj{\o}ntegaard-Delta peak signal to noise ratio, especially in the former case, while it is as good as or better than even H.265/HEVC for very deep computer-generated holograms, thus improving on existing approaches.",
keywords = "holography, hologram, coding, compression, wave atom, transform coding",
author = "Tobias Birnbaum and Ayyoub Ahar and David Blinder and Colas Schretter and Tomasz Kozacki and Peter Schelkens",
year = "2019",
month = "8",
day = "1",
doi = "10.1364/AO.58.006193",
language = "English",
volume = "58",
pages = "6193--6203",
journal = "Applied Optics",
issn = "1559-128X",
publisher = "The Optical Society",
number = "22",

}

RIS

TY - JOUR

T1 - Wave atoms for digital hologram compression

AU - Birnbaum, Tobias

AU - Ahar, Ayyoub

AU - Blinder, David

AU - Schretter, Colas

AU - Kozacki, Tomasz

AU - Schelkens, Peter

PY - 2019/8/1

Y1 - 2019/8/1

N2 - Compression of macroscopic digital holograms is a major research problem, which if unresolved will continue to limit the possible applications of holography in multimedia contexts. The quest of searching for the most suitable representation for compression is still an open problem. In this work, we study sparsification by the wave atom transform, introduced in 2006 by Demanet et al., and experiment on four large-scale representative diffuse macroscopic holograms while testing compressibility in the object plane, Fourier plane, and defocused plane representations, respectively. We demonstrate that it is a suitable nonadaptive, sparsifying transform for Fourier or defocused content, and by integration into the wave atom coding (WAC) method, we sketch a full-fledged codec for the compression of macroscopic holograms. WAC is compared to two variants of JPEG 2000, with equal complexity of coding tools, and the more recent High Efficiency Video Coding (H.265/HEVC). For Fourier and defocused holograms, WAC outperforms the JPEG 2000 variants by 0.9–7.9 dB Bjøntegaard-Delta peak signal to noise ratio, especially in the former case, while it is as good as or better than even H.265/HEVC for very deep computer-generated holograms, thus improving on existing approaches.

AB - Compression of macroscopic digital holograms is a major research problem, which if unresolved will continue to limit the possible applications of holography in multimedia contexts. The quest of searching for the most suitable representation for compression is still an open problem. In this work, we study sparsification by the wave atom transform, introduced in 2006 by Demanet et al., and experiment on four large-scale representative diffuse macroscopic holograms while testing compressibility in the object plane, Fourier plane, and defocused plane representations, respectively. We demonstrate that it is a suitable nonadaptive, sparsifying transform for Fourier or defocused content, and by integration into the wave atom coding (WAC) method, we sketch a full-fledged codec for the compression of macroscopic holograms. WAC is compared to two variants of JPEG 2000, with equal complexity of coding tools, and the more recent High Efficiency Video Coding (H.265/HEVC). For Fourier and defocused holograms, WAC outperforms the JPEG 2000 variants by 0.9–7.9 dB Bjøntegaard-Delta peak signal to noise ratio, especially in the former case, while it is as good as or better than even H.265/HEVC for very deep computer-generated holograms, thus improving on existing approaches.

KW - holography

KW - hologram

KW - coding

KW - compression

KW - wave atom

KW - transform coding

U2 - 10.1364/AO.58.006193

DO - 10.1364/AO.58.006193

M3 - Article

VL - 58

SP - 6193

EP - 6203

JO - Applied Optics

JF - Applied Optics

SN - 1559-128X

IS - 22

ER -

ID: 46264601