Holographic representation: Hologram plane vs. object plane

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.info:eu-repo/semantics/publishedVersio

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

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

Shot noise, refractive index tomography and aberrations estimation in digital holographic microscopy

The present thesis develops some specific aspects of digital holographic microscopy (DHM), namely the effect of shot noise on the phase image accuracy, the use of DHM in micro-tomography and in aberrations evaluation of a microscope objective (MO). DHM is an imaging technique, allowing to measure quantitatively the wavefront transmitted through or reflected by a specimen seen through a MO. A hologram, composed by the interference of the wave coming from the object with a reference wave, is recorded with a camera and then numerically processed to extract both amplitude and phase information. Thanks to its interferometric nature, DHM provides phase images, corresponding to a nanometric accuracy along the optical axis of the microscope, revealing extremely detailed information about the specimen surface in reflection configuration or its internal structure in transmission configuration. DHM has proven its efficiency on numerous applications fields going from cells biology to MEMS-MOEMS devices. In a first part, the use of DHM as metrological tools in the field of micro-optics testing is demonstrated. DHM measurement principle is compared with techniques employed in Twyman-Green, Mach-Zehnder, and white-light interferometers. Refractive microlenses are characterized with reflection DHM and the data are confronted with data obtained with standard interferometers. Specific features of DHM such as digital focussing, measurement of shape differences with respect to a perfect model, surface roughness measurements, and evaluation of a lens optical performance are discussed. The capability to image nonspherical lenses without modification of the optical setup, a key advantage of DHM against conventional interferometers, is demonstrated on a cylindrical mircrolens and a square lenses array. A second part treats the effect of shot noise in DHM. DHM is a single shot imaging technique, and its short hologram acquisition time (down to microseconds) offers a reduced sensitivity to vibrations. Real time observation is achievable, thanks to present performances of personal computers and digital camera. Fast dynamic imaging at low-light level involves few photons, requiring proper settings of the system (integration time and gain of the camera; power of the light source) to minimize the influence of shot noise on the hologram when the highest phase accuracy is aimed. With simulated and experimental data, a systematic analysis of the fundamental shot noise influence on phase accuracy in DHM is presented. Different configurations of the reference wave and the object wave intensities are also discussed, illustrating the detection limit and the coherent amplification of the object wave. In a third part, DHM has for the first time been applied to perform optical diffraction tomography of biological specimens: a pollen grain and living amoebas. Quantitative 2D phase images are acquired for regularly-spaced angular positions of the specimen covering a total angle of π, allowing to build 3D quantitative refractive index distributions by an inverse Radon transform. A precision of 0.01 for the refractive index estimation and a spatial resolution in the micron range are shown. For the amoebas, morphometric measurements are extracted from the tomographic reconstructions. The fourth part presents a DHM technique to determine the integral refractive index and morphology of cells. As the refractive index is a function of the cell dry mass, depending on the intra-cellular concentration and the organelles arrangement, the optical phase shift induced by the specimen on the transmitted wave can be regarded as a powerful endogenous contrast agent. The dual-wavelengths technique proposed in this thesis exploits the dispersion of the perfusion medium to obtain a set of equations, allowing decoupling the contributions of the refractive index and the cellular thickness to the total phase signal. The two wavelengths are chosen in the vicinity of the absorption peak of a dye added to the perfusion medium, where the absorption is accompanied by a strong variation of the refractive index as a function of the wavelength. The technique is demonstrated on yeasts. The last part exposes two methods capable of measuring the complex 3D amplitude point spread function (APSF) of an optical imaging system. The first approach consists in evaluating in amplitude and phase the image of a single emitting point, a 60 nm diameter tip of a Scanning Near Field Optical Microscopy (SNOM) fiber, with an original digital holographic setup. A single hologram giving access to the transverse APSF, the 3D APSF is obtained by performing an axial scan of the SNOM fiber. The method is demonstrated on an 20x 0.4 NA MO. For a 100x 1.3 NA MO, measurements performed with the new setup are compared with the prediction of an analytical aberrations model. The second method allows measuring the APSF of a MO with a single holographic acquisition of its pupil wavefront. The aberration function is extracted from this pupil measurement and then inserted in a scalar model of diffraction allowing to calculate the distribution of the complex wavefront propagated around the focal point. The results are compared with a direct measurement of the APSF achieved with the first proposed approach

Holography

This book depicts some differences from the typical scientific and technological literature on the theoretical study of holography and its applications. It offers topics that are not very commercial nor known, which will allow a different view of the field of optics. This is evident in chapters such as "Electron Holography of Magnetic Materials", "Polarization Holographic Gratings in Polymer Dispersed Formed Liquid Crystals", and "Digital Holography: Computer-generated Holograms and Diffractive Optics in Scalar Diffraction Domain". The readers will gain a different view of the application areas of holography and the wide range of possible directions that can guide research in the fields of optics

Digital watermarking and novel security devices

EThOS - Electronic Theses Online ServiceGBUnited Kingdo

Coherent and Holographic Imaging Methods for Immersive Near-Eye Displays

Lähinäytöt on suunniteltu tarjoamaan realistisia kolmiulotteisia katselukokemuksia, joille on merkittävää tarvetta esimerkiksi työkoneiden etäkäytössä ja 3D-suunnittelussa. Nykyaikaiset lähinäytöt tuottavat kuitenkin edelleen ristiriitaisia visuaalisia vihjeitä, jotka heikentävät immersiivistä kokemusta ja haittaavat niiden miellyttävää käyttöä. Merkittävänä ratkaisuvaihtoehtona pidetään koherentin valon, kuten laservalon, käyttöä näytön valaistukseen, millä voidaan korjata nykyisten lähinäyttöjen puutteita. Erityisesti koherentti valaistus mahdollistaa holografisen kuvantamisen, jota käyttävät holografiset näytöt voivat tarkasti jäljitellä kolmiulotteisten mallien todellisia valoaaltoja. Koherentin valon käyttäminen näyttöjen valaisemiseen aiheuttaa kuitenkin huomiota vaativaa korkean kontrastin häiriötä pilkkukuvioiden muodossa. Lisäksi holografisten näyttöjen laskentamenetelmät ovat laskennallisesti vaativia ja asettavat uusia haasteita analyysin, pilkkuhäiriön ja valon mallintamisen suhteen. Tässä väitöskirjassa tutkitaan laskennallisia menetelmiä lähinäytöille koherentissa kuvantamisjärjestelmässä käyttäen signaalinkäsittelyä, koneoppimista sekä geometrista (säde) ja fysikaalista (aalto) optiikan mallintamista. Työn ensimmäisessä osassa keskitytään holografisten kuvantamismuotojen analysointiin sekä kehitetään hologrammien laskennallisia menetelmiä. Holografian korkeiden laskentavaatimusten ratkaisemiseksi otamme käyttöön holografiset stereogrammit holografisen datan likimääräisenä esitysmuotona. Tarkastelemme kyseisen esitysmuodon visuaalista oikeellisuutta kehittämällä analyysikehyksen holografisen stereogrammin tarjoamien visuaalisten vihjeiden tarkkuudelle akkommodaatiota varten suhteessa sen suunnitteluparametreihin. Lisäksi ehdotamme signaalinkäsittelyratkaisua pilkkuhäiriön vähentämiseksi, ratkaistaksemme nykyisten menetelmien valon mallintamiseen liittyvät visuaalisia artefakteja aiheuttavat ongelmat. Kehitämme myös uudenlaisen holografisen kuvantamismenetelmän, jolla voidaan mallintaa tarkasti valon käyttäytymistä haastavissa olosuhteissa, kuten peiliheijastuksissa. Väitöskirjan toisessa osassa lähestytään koherentin näyttökuvantamisen laskennallista taakkaa koneoppimisen avulla. Kehitämme koherentin akkommodaatioinvariantin lähinäytön suunnittelukehyksen, jossa optimoidaan yhtäaikaisesti näytön staattista optiikka ja näytön kuvan esikäsittelyverkkoa. Lopuksi nopeutamme ehdottamaamme uutta holografista kuvantamismenetelmää koneoppimisen avulla reaaliaikaisia sovelluksia varten. Kyseiseen ratkaisuun sisältyy myös tehokkaan menettelyn kehittäminen funktionaalisten satunnais-3D-ympäristöjen tuottamiseksi. Kehittämämme menetelmä mahdollistaa suurten synteettisten moninäkökulmaisten kuvien datasettien tuottamisen, joilla voidaan kouluttaa sopivia neuroverkkoja mallintamaan holografista kuvantamismenetelmäämme reaaliajassa. Kaiken kaikkiaan tässä työssä kehitettyjen menetelmien osoitetaan olevan erittäin kilpailukykyisiä uusimpien koherentin valon lähinäyttöjen laskentamenetelmien kanssa. Työn tuloksena nähdään kaksi vaihtoehtoista lähestymistapaa ristiriitaisten visuaalisten vihjeiden aiheuttamien nykyisten lähinäyttöongelmien ratkaisemiseksi joko staattisella tai dynaamisella optiikalla ja reaaliaikaiseen käyttöön soveltuvilla laskentamenetelmillä. Esitetyt tulokset ovat näin ollen tärkeitä seuraavan sukupolven immersiivisille lähinäytöille.Near-eye displays have been designed to provide realistic 3D viewing experience, strongly demanded in applications, such as remote machine operation, entertainment, and 3D design. However, contemporary near-eye displays still generate conflicting visual cues which degrade the immersive experience and hinders their comfortable use. Approaches using coherent, e.g., laser light for display illumination have been considered prominent for tackling the current near-eye display deficiencies. Coherent illumination enables holographic imaging whereas holographic displays are expected to accurately recreate the true light waves of a desired 3D scene. However, the use of coherent light for driving displays introduces additional high contrast noise in the form of speckle patterns, which has to be taken care of. Furthermore, imaging methods for holographic displays are computationally demanding and impose new challenges in analysis, speckle noise and light modelling. This thesis examines computational methods for near-eye displays in the coherent imaging regime using signal processing, machine learning, and geometrical (ray) and physical (wave) optics modeling. In the first part of the thesis, we concentrate on analysis of holographic imaging modalities and develop corresponding computational methods. To tackle the high computational demands of holography, we adopt holographic stereograms as an approximative holographic data representation. We address the visual correctness of such representation by developing a framework for analyzing the accuracy of accommodation visual cues provided by a holographic stereogram in relation to its design parameters. Additionally, we propose a signal processing solution for speckle noise reduction to overcome existing issues in light modelling causing visual artefacts. We also develop a novel holographic imaging method to accurately model lighting effects in challenging conditions, such as mirror reflections. In the second part of the thesis, we approach the computational complexity aspects of coherent display imaging through deep learning. We develop a coherent accommodation-invariant near-eye display framework to jointly optimize static display optics and a display image pre-processing network. Finally, we accelerate the corresponding novel holographic imaging method via deep learning aimed at real-time applications. This includes developing an efficient procedure for generating functional random 3D scenes for forming a large synthetic data set of multiperspective images, and training a neural network to approximate the holographic imaging method under the real-time processing constraints. Altogether, the methods developed in this thesis are shown to be highly competitive with the state-of-the-art computational methods for coherent-light near-eye displays. The results of the work demonstrate two alternative approaches for resolving the existing near-eye display problems of conflicting visual cues using either static or dynamic optics and computational methods suitable for real-time use. The presented results are therefore instrumental for the next-generation immersive near-eye displays

Methods for transform, analysis and rendering of complete light representations

Recent advances in digital holography, optical engineering and computer graphics have opened up the possibility of full parallax, three dimensional displays. The premises of these rendering systems are however somewhat different from traditional imaging and video systems. Instead of rendering an image of the scene, the complete light distribution must be computed. In this thesis we discuss some different methods regarding processing and rendering of two well known full light representations: the light field and the hologram. A light field transform approach, based on matrix optics operators, is introduced. Thereafter we discuss the relationship between the light field and the hologram representations. The final part of the thesis is concerned with hologram and wave field synthesis. We present two different methods. First, a GPU accelerated approach to rendering point-based models is introduced. Thereafter, we develop a Fourier rendering approach capable of generating angular spectra of triangular mesh models.Aktuelle Fortschritte in den Bereichen der digitalen Holographie, optischen Technik und Computergrafik ermöglichen die Entwicklung von vollwertigen 3D-Displays. Diese Systeme sind allerdings auf Eingangsdaten angewiesen, die sich von denen traditioneller Videosysteme unterscheiden. Anstatt für die Visualisierung ein zweidimensionales Abbild einer Szene zu erstellen, muss die vollständige Verteilung des Lichts berechnet werden. In dieser Dissertation betrachten wir verschiedene Methoden, um dies für zwei verschiedene gebräuchliche Darstellungen der Lichtverteilung zu erreichen: Lichtfeld und Hologramm. Wir stellen dafür zunächst eine Methode vor, die Operatoren der Strahlenoptik auf Lichtfelder anzuwenden, und diskutieren daraufhin, wie die Darstellung als Lichtfeld mit der Darstellung als Hologramm zusammenhängt. Abschliessend wird die praktische Berechnung von Hologrammen und Wellenfeldern behandelt, wobei wir zwei verschiedene Ansätze untersuchen. Im ersten Ansatz werden Wellenfelder aus punktbasierten Modellen von Objekten erzeugt, unter Einsatz moderner Grafikhardware zur Optimierung der Rechenzeit. Der zweite Ansatz, Fourier-Rendering, ermöglicht die Generierung von Hologrammen aus Oberflächen, die durch Dreiecksnetze beschrieben sind