Wavelet coding of off-axis holographic images

Blinder, David; Bruylants, Tim; Stijns, Erik; Ottevaere, Heidi; Schelkens, Peter

doi:10.1117/12.2027114

Cited by 15 publications

(10 citation statements)

References 10 publications

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“…The important basis functions, therefore, have to consist of well-oriented high-frequency components, as they will largely represent the real image to be viewed. We confirmed this 13 by using independent component analysis to formally characterize the nature of the information content in multivariate data. The twin image is also contained in these high-frequency components.…”

supporting

confidence: 53%

“…This hints that the use of directional wavelet transforms can improve the compression performance, as they are able to align with the directional features of the data. 13 For that reason, we show how the JPEG 2000 architecture can easily be extended to include the block-based directional adaptive DWT (DA-DWT). [32][33][34] We employ a separable lifting scheme, similar to that of JPEG 2000 DWT, but with modified prediction and update functions that are no longer confined only to the horizontal direction (1,0) for row-based splits and the vertical direction (0,1) for column-based splits.…”

Section: Directional Adaptive Discrete Wavelet Transformmentioning

confidence: 99%

“…13,14 We extend our previous work by (1) thoroughly presenting and comparing our coding architecture against the state-of-the-art, (2) providing the necessary technical details in order to practically realize our coding system and ensuring the reproducibility of the results, (3) providing experimental results on a larger and more varied collection of holograms, and (4) evaluating more coding technologies (such as JPEG and JPEG-LS) and more wavelet decompositions (5-level wavelet decompositions, with and without directional wavelets and/or packet decompositions).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

JPEG 2000-based compression of fringe patterns for digital holographic microscopy

et al. 2014

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Abstract. With the advent of modern computing and imaging technologies, digital holography is becoming widespread in various scientific disciplines such as microscopy, interferometry, surface shape measurements, vibration analysis, data encoding, and certification. Therefore, designing an efficient data representation technology is of particular importance. Off-axis holograms have very different signal properties with respect to regular imagery, because they represent a recorded interference pattern with its energy biased toward the high-frequency bands. This causes traditional images' coders, which assume an underlying 1∕f 2 power spectral density distribution, to perform suboptimally for this type of imagery. We propose a JPEG 2000-based codec framework that provides a generic architecture suitable for the compression of many types of off-axis holograms. This framework has a JPEG 2000 codec at its core, extended with (1) fully arbitrary wavelet decomposition styles and (2) directional wavelet transforms. Using this codec, we report significant improvements in coding performance for off-axis holography relative to the conventional JPEG 2000 standard, with Bjøntegaard delta-peak signal-to-noise ratio improvements ranging from 1.3 to 11.6 dB for lossy compression in the 0.125 to 2.00 bpp range and bit-rate reductions of up to 1.6 bpp for lossless compression.

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supporting

confidence: 53%

Section: Directional Adaptive Discrete Wavelet Transformmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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JPEG 2000-based compression of fringe patterns for digital holographic microscopy

et al. 2014

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“…Some authors have investigated the use of existing standard compression tools on the 2D representation of holograms. In by Blinder et al., compression tests were carried out on holograms relating to the field of microscopy acquired by an off‐axis technique using JPEG 2000 as a basis. Since a non‐negligible quantity of information is contained at high frequencies in off‐axis holography, the decomposition mode of the codec input is modified (using Part 2 of the JPEG 2000 standard, which allows for the decomposition structures to be modified) to exceed the maximum limit of three decompositions of the high pass bands imposed by the JPEG 2000 standard.…”

Section: Status Of Compression Technology For Holographymentioning

confidence: 99%

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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“…Complementary to the extensive studies on the performance of lossless coding and quantization methods, work on holographic data compression focused on lossy compression with wavelets transform were proposed. In 2013, Blinder et al [39] investigated alternative wavelet decomposition on off-axis holograms. In 2014, Viswanathan et al [40] used Morlet wavelets for transforming a hologram, and in 2015, Xing et al [41] combined wavelet transform and joint encoding methods to compress phase-shifting holographic data.…”

Section: Existing Literature On Holography Codingmentioning

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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Wavelet coding of off-axis holographic images

Cited by 15 publications

References 10 publications

JPEG 2000-based compression of fringe patterns for digital holographic microscopy

JPEG 2000-based compression of fringe patterns for digital holographic microscopy

JPEG Pleno: Providing representation interoperability for holographic applications and devices

Holographic representation: Hologram plane vs. object plane

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