Perception of Color Break-Up

Hintergrund. Ein farbverfälschender Bildfehler namens Color Break-Up (CBU) wurde untersucht. Störende CBU-Effekte treten auf, wenn Augenbewegungen (z.B. Folgebewegungen oder Sakkaden) während der Content-Wiedergabe über sogenannte Field-Sequential Color (FSC) Displays oder Projektoren ausgeführt werden. Die Ursache für das Auftreten des CBU-Effektes ist die sequenzielle Anzeige der Primärfarben über das FSC-System. Methoden. Ein kombiniertes Design aus empirischer Forschung und theoretischer Modellierung wurde angewendet. Mittels empirischer Studien wurde der Einfluss von hardware-, content- und betrachterbasierten Faktoren auf die CBU-Wahrnehmung der Stichprobe untersucht. Hierzu wurden zunächst Sehleistung (u. a. Farbsehen), Kurzzeitzustand (u. a. Aufmerksamkeit) und Persönlichkeitsmerkmale (u. a. Technikaffinität) der Stichprobe erfasst. Anschließend wurden die Teilnehmenden gebeten, die wahrgenommene CBU-Intensität verschiedener Videosequenzen zu bewerten. Die Sequenzen wurden mit einem FSC-Projektor wiedergegeben. Das verwendete Setup ermöglichte die Untersuchung folgender Variablen: die Größe (1.0 bis 6.0°) und Leuchtdichte (10.0 bis 157.0 cd/m2) des CBU-provozierenden Contents, das Augenbewegungsmuster des Teilnehmenden (Geschwindigkeit der Folgebewegung: 18.0 bis 54.0 °/s; Amplitude der Sakkade: 3.6 bis 28.2°), die Position der Netzhautstimulation (0.0 bis 50.0°) und die Bildrate des Projektors (30.0 bis 420.0 Hz). Korrelationen zwischen den unabhängigen Variablen und der subjektiven CBU-Wahrnehmung wurden getestet. Das ergänzend entwickelte Modell prognostiziert die CBU-Wahrnehmung eines Betrachters auf theoretische Weise. Das Modell rekonstruiert die Intensitäts- und Farbeigenschaften von CBU-Effekten zunächst grafisch. Anschließend wird die visuelle CBU-Rekonstruktion zu repräsentativen Modellindizes komprimiert, um das modellierte Szenario mit einem handhabbaren Satz von Metriken zu quantifizieren. Die Modellergebnisse wurden abschließend mit den empirischen Daten verglichen. Ergebnisse. Die hohe interindividuelle CBU-Variabilität innerhalb der Stichprobe lässt sich nicht durch die Sehleistung, den Kurzzeitzustand oder die Persönlichkeitsmerkmale eines Teilnehmenden erklären. Eindeutig verstärkende Bedingungen der CBU-Wahrnehmung sind: (1) eine foveale Position des CBU-Stimulus, (2) eine reduzierte Stimulusgröße während Sakkaden, (3) eine hohe Bewegungsgeschwindigkeit des Auges und (4) eine niedrige Bildrate des Projektors (Korrelation durch Exponentialfunktion beschreibbar, r2 > .93). Die Leuchtdichte des Stimulus wirkt sich nur geringfügig auf die CBU-Wahrnehmung aus. Generell hilft das Modell, die grundlegenden Prozesse der CBU-Genese zu verstehen, den Einfluss von CBU-Determinanten zu untersuchen und ein Klassifizierungsschema für verschiedene CBU-Varianten zu erstellen. Das Modell prognostiziert die empirischen Daten innerhalb der angegebenen Toleranzbereiche. Schlussfolgerungen. Die Studienergebnisse ermöglichen die Festlegung von Bildraten und Eigenschaften des CBU-provozierenden Content (Größe und Position), die das Überschreiten vordefinierter, störender CBU-Grenzwerte vermeiden. Die abgeleiteten Hardwareanforderungen und Content-Empfehlungen ermöglichen ein praxisnahes und evidenzbasiertes CBU-Management. Für die Vorhersage von CBU kann die Modellgenauigkeit weiter verbessert werden, indem Merkmale der menschlichen Wahrnehmung berücksichtigt werden, z.B. die exzentrizitätsabhängige Netzhautempfindlichkeit oder Änderungen der visuellen Wahrnehmung bei unterschiedlichen Arten von Augenbewegungen. Zur Modellierung dieser Merkmale können teilnehmerbezogene Daten der empirischen Forschung herangezogen werden.Background. A color-distorting artifact called Color Break-Up (CBU) has been investigated. Disturbing CBU effects occur when eye movements (e.g., pursuits or saccades) are performed during the presentation of content on Field-Sequential Color (FSC) display or projection systems where the primary colors are displayed sequentially rather than simultaneously. Methods. A mixed design of empirical research and theoretical modeling was used to address the main research questions. Conducted studies evaluated the impact of hardware-based, content-based, and viewer-based factors on the sample’s CBU perception. In a first step, visual performance parameters (e.g., color vision), short-term state (e.g., attention level), and long-term personality traits (e.g., affinity to technology) of the sample were recorded. Participants were then asked to rate the perceived CBU intensity for different video sequences presented by a FSC-based projector. The applied setup allowed the size of the CBU-provoking content (1.0 to 6.0°), its luminance level (10.0 to 157.0 cd/m2), the participant’s eye movement pattern (pursuits: 18.0 to 54.0 deg/s; saccadic amplitudes: 3.6 to 28.2°), the position of retinal stimulation (0.0 to 50.0°), and the projector’s frame rate (30.0 to 420.0 Hz) to be varied. Correlations between independent variables and subjective CBU perception were tested. In contrast, the developed model predicts a viewer’s CBU perception on an objective basis. The model graphically reconstructs the intensity and color characteristics of CBU effects. The visual CBU reconstruction is then compressed into representative model indices to quantify the modeled scenario with a manageable set of metrics. Finally, the model output was compared to the empirical data. Results. High interindividual CBU variability within the sample cannot be explained by a participant’s visual performance, short-term state or long-term personality traits. Conditions that distinctly elevate the participant’s CBU perception are (1) a foveal stimulus position on the retina, (2) a small-sized stimulus during saccades, (3) a high eye movement velocity, and (4) a low frame rate of the projector (correlation expressed by exponential function, r2 > .93). The stimulus luminance, however, only slightly affects CBU perception. In general, the model helps to understand the fundamental processes of CBU genesis, to investigate the impact of CBU determinants, and to establish a classification scheme for different CBU variants. The model adequately predicts the empirical data within the specified tolerance ranges. Conclusions. The study results allow the determination of frame rates and content characteristics (size and position) that avoid exceeding predefined annoyance thresholds for CBU perception. The derived hardware requirements and content recommendations enable practical and evidence-based CBU management. For CBU prediction, model accuracy can be further improved by considering features of human perception, e.g., eccentricity-dependent retinal sensitivity or changes in visual perception with different types of eye movements. Participant-based data from the empirical research can be used to model these features

Flat panel display signal processing

Televisions (TVs) have shown considerable technological progress since their introduction almost a century ago. Starting out as small, dim and monochrome screens in wooden cabinets, TVs have evolved to large, bright and colorful displays in plastic boxes. It took until the turn of the century, however, for the TV to become like a ‘picture on the wall’. This happened when the bulky Cathode Ray Tube (CRT) was replaced with thin and light-weight Flat Panel Displays (FPDs), such as Liquid Crystal Displays (LCDs) or Plasma Display Panels (PDPs). However, the TV system and transmission formats are still strongly coupled to the CRT technology, whereas FPDs use very different principles to convert the electronic video signal to visible images. These differences result in image artifacts that the CRT never had, but at the same time provide opportunities to improve FPD image quality beyond that of the CRT. This thesis presents an analysis of the properties of flat panel displays, their relation to image quality, and video signal processing algorithms to improve the quality of the displayed images. To analyze different types of displays, the display signal chain is described using basic principles common to all displays. The main function of a display is to create visible images (light) from an electronic signal (video), requiring display chain functions like opto-electronic effect, spatial and temporal addressing and reconstruction, and color synthesis. The properties of these functions are used to describe CRT, LCDs, and PDPs, showing that these displays perform the same functions, using different implementations. These differences have a number of consequences, that are further investigated in this thesis. Spatial and temporal aspects, corresponding to ‘static’ and ‘dynamic’ resolution respectively, are covered in detail. Moreover, video signal processing is an essential part of the display signal chain for FPDs, because the display format will in general no longer match the source format. In this thesis, it is investigated how specific FPD properties, especially related to spatial and temporal addressing and reconstruction, affect the video signal processing chain. A model of the display signal chain is presented, and applied to analyze FPD spatial properties in relation to static resolution. In particular, the effect of the color subpixels, that enable color image reproduction in FPDs, is analyzed. The perceived display resolution is strongly influenced by the color subpixel arrangement. When taken into account in the signal chain, this improves the perceived resolution on FPDs, which clearly outperform CRTs in this respect. The cause and effect of this improvement, also for alternative subpixel arrangements, is studied using the display signal model. However, the resolution increase cannot be achieved without video processing. This processing is efficiently combined with image scaling, which is always required in the FPD display signal chain, resulting in an algorithm called ‘subpixel image scaling’. A comparison of the effects of subpixel scaling on several subpixel arrangements shows that the largest increase in perceived resolution is found for two-dimensional subpixel arrangements. FPDs outperform CRTs with respect to static resolution, but not with respect to ‘dynamic resolution’, i.e. the perceived resolution of moving images. Life-like reproduction of moving images is an important requirement for a TV display, but the temporal properties of FPDs cause artifacts in moving images (‘motion artifacts’), that are not found in CRTs. A model of the temporal aspects of the display signal chain is used to analyze dynamic resolution and motion artifacts on several display types, in particular LCD and PDP. Furthermore, video signal processing algorithms are developed that can reduce motion artifacts and increase the dynamic resolution. The occurrence of motion artifacts is explained by the fact that the human visual system tracks moving objects. This converts temporal effects on the display into perceived spatial effects, that can appear in very different ways. The analysis shows how addressing mismatches in the chain cause motion-dependent misalignment of image data, e.g. resulting in the ‘dynamic false contour’ artifact in PDPs. Also, non-ideal temporal reconstruction results in ‘motion blur’, i.e. a loss of sharpness of moving images, which is typical for LCDs. The relation between motion blur, dynamic resolution, and temporal properties of LCDs is analyzed using the display signal model in the temporal (frequency) domain. The concepts of temporal aperture, motion aperture and temporal display bandwidth are introduced, which enable characterization of motion blur in a simple and direct way. This is applied to compare several motion blur reduction methods, based on modified display design and driving. This thesis further describes the development of several video processing algorithms that can reduce motion artifacts. It is shown that the motion of objects in the image plays an essential role in these algorithms, i.e. they require motion estimation and compensation techniques. In LCDs, video processing for motion artifact reduction involves a compensation for the temporal reconstruction characteristics of the display, leading to the ‘motion compensated inverse filtering’ algorithm. The display chain model is used to analyze this algorithm, and several methods to increase its performance are presented. In PDPs, motion artifact reduction can be achieved with ‘motion compensated subfield generation’, for which an advanced algorithm is presented

Polarization fields: dynamic light field display using multi-layer LCDs

We introduce polarization field displays as an optically-efficient design for dynamic light field display using multi-layered LCDs. Such displays consist of a stacked set of liquid crystal panels with a single pair of crossed linear polarizers. Each layer is modeled as a spatially-controllable polarization rotator, as opposed to a conventional spatial light modulator that directly attenuates light. Color display is achieved using field sequential color illumination with monochromatic LCDs, mitigating severe attenuation and moiré occurring with layered color filter arrays. We demonstrate such displays can be controlled, at interactive refresh rates, by adopting the SART algorithm to tomographically solve for the optimal spatially-varying polarization state rotations applied by each layer. We validate our design by constructing a prototype using modified off-the-shelf panels. We demonstrate interactive display using a GPU-based SART implementation supporting both polarization-based and attenuation-based architectures. Experiments characterize the accuracy of our image formation model, verifying polarization field displays achieve increased brightness, higher resolution, and extended depth of field, as compared to existing automultiscopic display methods for dual-layer and multi-layer LCDs.National Science Foundation (U.S.) (Grant IIS-1116452)United States. Defense Advanced Research Projects Agency (Grant HR0011-10-C-0073)Alfred P. Sloan Foundation (Research Fellowship)United States. Defense Advanced Research Projects Agency (Young Faculty Award

High Efficiency and Wide Color Gamut Liquid Crystal Displays

Liquid crystal display (LCD) has become ubiquitous and indispensable in our daily life. Recently, it faces strong competition from organic light emitting diode (OLED). In order to maintain a strong leader position, LCD camp has an urgent need to enrich the color performance and reduce the power consumption. This dissertation focuses on solving these two emerging and important challenges. In the first part of the dissertation we investigate the quantum dot (QD) technology to improve the both the color gamut and the light efficiency of LCD. QD emits saturated color and grants LCD the capability to reproduce color vivid images. Moreover, the QD emission spectrum can be custom designed to match to transmission band of color filters. To fully take advantage of QD\u27s unique features, we propose a systematic modelling of the LCD backlight and optimize the QD spectrum to simultaneously maximize the color gamut and light efficiency. Moreover, QD enhanced LCD demonstrates several advantages: excellent ambient contrast, negligible color shift and controllable white point. Besides three primary LCD, We also present a spatiotemporal four-primary QD enhanced LCD. The LCD\u27s color is generated partially from time domain and partially from spatial domain. As a result, this LCD mode offers 1.5× increment in spatial resolution, 2× brightness enhancement, slightly larger color gamut and mitigated LC response requirement (~4ms). It can be employed in the commercial TV to meet the challenging Energy star 6 regulation. Besides conventional LCD, we also extend the QD applications to liquid displays and smart lighting devices. The second part of this dissertation focuses on improving the LCD light efficiency. Conventional LCD system has fairly low light efficiency (4%~7%) since polarizers and color filters absorb 50% and 67% of the incoming light respectively. We propose two approaches to reduce the light loss within polarizers and color filters. The first method is a polarization preserving backlight system. It can be combined with linearly polarized light source to boost the LCD efficiency. Moreover, this polarization preserving backlight offers high polarization efficiency (~77.8%), 2.4× on-axis luminance enhancement, and no need for extra optics films. The second approach is a LCD backlight system with simultaneous color/polarization recycling. We design a novel polarizing color filter with high transmittance ( \u3e 90%), low absorption loss (~3.3%), high extinction ratio (\u3e10,000:1) and large angular tolerance (up to ±50˚). This polarizing color filter can be used in LCD system to introduce the color/polarization recycling and accordingly boost LCD efficiency by ~3 times. These two approaches open new gateway for ultra-low power LCDs. In the final session of this dissertation, we demonstrate a low power and color vivid reflective liquid crystal on silicon (LCOS) display with low viscosity liquid crystal mixture. Compared with commercial LC material, the new LC mixture offers ~4X faster response at 20oC and ~8X faster response at -20°C. This fast response LC material enables the field-sequential-color (FSC) driving for power saving. It also leads to several attractive advantages: submillisecond response time at room temperature, vivid color even at -20oC, high brightness, excellent ambient contrast ratio, and suppressed color breakup. With this material improvement, LCOS display can be promising for the emerging wearable display market

Particle size selection in capillary instability of locally heated co-axial fiber

Harnessing fluidic instabilities to produce structures with robust and regular properties has recently emerged as a new fabrication paradigm. This is exemplified in the work of Gumennik et al. [Nat. Comm. 4:2216, DOI: 10.1038/ncomms3216, (2013)], in which the authors fabricate silicon spheres by feeding a silicon-in-silica co-axial fiber into a flame. Following the localized melting of the silicon, a capillary instability of the silicon-silica interface induces the formation of uniform silicon spheres. Here, we try to unravel the physical mechanisms at play in selecting the size of these particles, which was notably observed by Gumennik et al. to vary monotonically with the speed at which the fiber is fed into the flame. Using a simplified model derived from standard long-wavelength approximations, we show that linear stability analysis strikingly fails at predicting the selected particle size. Nonetheless, nonlinear simulations of the simplified model do recover the particle size observed in experiments, without any adjustable parameters. This shows that the formation of the silicon spheres in this system is an intrinsically nonlinear process that has little in common with the loss of stability of the underlying base flow solution.Comment: 23 pages, 15 figure

Speckle Reduction in Projection Systems

A speckle pattern is a quasi-random interference pattern which typically emerges when lasers are used as illumination sources in projection applications and which severely degrades the image quality. Since in most projection applications high speckle disturbance is not tolerable, speckle reduction is a major issue. This work gives an introduction into the theoretical description of speckle and investigates different practical methods for speckle reduction in laser projection systems

Disorder in quantum many-body systems

Impurities, defects, and other types of imperfections are ubiquitous in realistic quantum many-body systems and essentially unavoidable in solid state materials. Often, such random disorder is viewed purely negatively as it is believed to prevent interesting new quantum states of matter from forming and to smear out sharp features associated with the phase transitions between them. However, disorder is also responsible for a variety of interesting novel phenomena that do not have clean counterparts. These include Anderson localization of single particle wave functions, many-body localization in isolated many-body systems, exotic quantum critical points, and "glassy" ground state phases. This brief review focuses on two separate but related subtopics in this field. First, we review under what conditions different types of randomness affect the stability of symmetry-broken low-temperature phases in quantum many-body systems and the stability of the corresponding phase transitions. Second, we discuss the fate of quantum phase transitions that are destabilized by disorder as well as the unconventional quantum Griffiths phases that emerge in their vicinity.Comment: invited review article for Annual Review of Condensed Matter Physics, 20 pages, 5 figures include

Deformation and Breakup of Finite-sized Bubbles in Intense Turbulence

From rain droplets in clouds to entrained gas bubbles in oceans, the majority of fluid mechanics problems in nature and industry are turbulent and consist of multiple phases. In such flows, bubbles and droplets experience complex deformation. Though this deformation occurs at small-scale interfaces, it plays important roles in many large-scale processes e.g. the overall heat and mass transfer in two-phase energy systems. To understand the fundamental physics behind the interaction between turbulence and deformable bubbles, simultaneous 3D measurements of both phases are essential. However, obtaining such measurements is a very challenging task. To address this problem, a unique vertical water tunnel (V-ONSET) capable of generating energetic turbulence is designed. V-ONSET is equipped with six high-speed cameras uniformly distributed around its test section to obtain high-resolution images of both bubbles and the turbulent carrier phase simultaneously. To reconstruct the 3D shapes of bubbles, a new algorithm addressing the limited-angle reconstruction problem by using the physical constraint of minimum surface energy is developed. Moreover, to quantify turbulence, tracer particles in the surrounding flow are tracked with an in-house OpenLPT code. Leveraging such unique simultaneous measurements of bubbles and their surrounding turbulent flow, we investigate the mechanisms in turbulence responsible for the deformation and breakup of bubbles. We identify and evaluate two key mechanisms namely, the coarse-grained turbulent strains and the slip velocity between the two phases. Interestingly, two Weber numbers based on these two mechanisms show that in strong turbulence, the rather ignored mechanism of the slip velocity has a comparable magnitude to the other mechanism of turbulent strains. The distributions of these two Weber numbers are modeled based on turbulent flow characteristics. This also helps to estimate bubble breakup probability in turbulence. Furthermore, we investigate the orientation dynamics of bubbles with respect to the aforementioned deformation mechanisms. It elucidates that bubbles exhibit the strongest alignment with the slip velocity direction indicating the dominant role played by the compression induced by the slip velocity. Finally, a Lagrangian model including both deformation mechanisms is proposed to predict bubble deformation and orientation in turbulence