9,442 research outputs found

    Reconstruction of high dynamic range images with poisson noise modeling and integrated denoising

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    In this paper, we present a new method for High Dynamic Range (HDR) reconstruction based on a set of multiple photographs with different exposure times. While most existing techniques take a deterministic approach by assuming that the acquired low dynamic range (LDR) images are noise-free, we explicitly model the photon arrival process by assuming sensor data corrupted by Poisson noise. Taking the noise characteristics of the sensor data into account leads to a more robust way to estimate the non-parametric camera response function (CRF) compared to existing techniques. To further improve the HDR reconstruction, we adopt the split-Bregman framework and use Total Variation for regularization. Experimental results on real camera images and ground-truth data show the effectiveness of the proposed approach

    Multi-Frequency Synthesis of VLBI Images Using a Generalized Maximum Entropy Method

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    A new multi-frequency synthesis algorithm for reconstructing images from multi-frequency VLBI data is proposed. The algorithm is based on a generalized maximum-entropy method, and makes it possible to derive an effective spectral correction for images over a broad frequency bandwidth, while simultaneously reconstructing the spectral-index distribution over the source. The results of numerical simulations demonstrating the capabilities of the algorithm are presented.Comment: 17 pages, 8 figure

    Real-time Image Generation for Compressive Light Field Displays

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    With the invention of integral imaging and parallax barriers in the beginning of the 20th century, glasses-free 3D displays have become feasible. Only today—more than a century later—glasses-free 3D displays are finally emerging in the consumer market. The technologies being employed in current-generation devices, however, are fundamentally the same as what was invented 100 years ago. With rapid advances in optical fabrication, digital processing power, and computational perception, a new generation of display technology is emerging: compressive displays exploring the co-design of optical elements and computational processing while taking particular characteristics of the human visual system into account. In this paper, we discuss real-time implementation strategies for emerging compressive light field displays. We consider displays composed of multiple stacked layers of light-attenuating or polarization-rotating layers, such as LCDs. The involved image generation requires iterative tomographic image synthesis. We demonstrate that, for the case of light field display, computed tomographic light field synthesis maps well to operations included in the standard graphics pipeline, facilitating efficient GPU-based implementations with real-time framerates.United States. Defense Advanced Research Projects Agency. Soldier Centric Imaging via Computational CamerasNational Science Foundation (U.S.) (Grant IIS-1116452)United States. Defense Advanced Research Projects Agency. Maximally scalable Optical Sensor Array Imaging with Computation ProgramAlfred P. Sloan Foundation (Research Fellowship)United States. Defense Advanced Research Projects Agency (Young Faculty Award

    Põhjalik uuring ülisuure dünaamilise ulatusega piltide toonivastendamisest koos subjektiivsete testidega

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    A high dynamic range (HDR) image has a very wide range of luminance levels that traditional low dynamic range (LDR) displays cannot visualize. For this reason, HDR images are usually transformed to 8-bit representations, so that the alpha channel for each pixel is used as an exponent value, sometimes referred to as exponential notation [43]. Tone mapping operators (TMOs) are used to transform high dynamic range to low dynamic range domain by compressing pixels so that traditional LDR display can visualize them. The purpose of this thesis is to identify and analyse differences and similarities between the wide range of tone mapping operators that are available in the literature. Each TMO has been analyzed using subjective studies considering different conditions, which include environment, luminance, and colour. Also, several inverse tone mapping operators, HDR mappings with exposure fusion, histogram adjustment, and retinex have been analysed in this study. 19 different TMOs have been examined using a variety of HDR images. Mean opinion score (MOS) is calculated on those selected TMOs by asking the opinion of 25 independent people considering candidates’ age, vision, and colour blindness

    Layered 3D: tomographic image synthesis for attenuation-based light field and high dynamic range displays

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    We develop tomographic techniques for image synthesis on displays composed of compact volumes of light-attenuating material. Such volumetric attenuators recreate a 4D light field or high-contrast 2D image when illuminated by a uniform backlight. Since arbitrary oblique views may be inconsistent with any single attenuator, iterative tomographic reconstruction minimizes the difference between the emitted and target light fields, subject to physical constraints on attenuation. As multi-layer generalizations of conventional parallax barriers, such displays are shown, both by theory and experiment, to exceed the performance of existing dual-layer architectures. For 3D display, spatial resolution, depth of field, and brightness are increased, compared to parallax barriers. For a plane at a fixed depth, our optimization also allows optimal construction of high dynamic range displays, confirming existing heuristics and providing the first extension to multiple, disjoint layers. We conclude by demonstrating the benefits and limitations of attenuation-based light field displays using an inexpensive fabrication method: separating multiple printed transparencies with acrylic sheets.Dolby Laboratories Inc.Samsung ElectronicsAlfred P. Sloan Foundatio

    Evaluation of tone-mapping algorithms for focal-plane implementation

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    Scenes in the real world may simultaneously contain very bright and very dark regions, caused by different illumination conditions. These scenes contain a wide range of different light intensity values. Attempting to exhibit a picture of such scene on a conventional display device, such as a computer monitor, leads to (a possibly large) loss of details in the displayed scene, since conventional display devices can only represent a limited amount of different light intensity values, which span a smaller range. To mitigate the loss of details, before it is shown on the display device, the picture of the scene must be processed by a tone-mapping algorithm, which maps the original light intensities into the light intensities representable by the display, thereby accommodating the input high dynamic range of values into a smaller range. In this work, a comparison between different tone-mapping algorithms is presented. More specifically, the performances (regarding processing time and overall quality of the processed image) from a digital version of the tone-mapping operator originally proposed by Fern´andez-Berni et al. [11] that is implemented in the focal plane of the camera and from different tone-mapping operators that are originally implemented in software are compared. Furthermore, a second digital version of the focal-plane operator, which simulates a modified version of the original hardware implementation, is considered and its performance is analyzed. The modified hardware implementation is less complex and requires less space than the original implementation and, subjectively, keeps the overall image quality approximately equal to that achieved by digital operators. Issues regarding colors of the tone-mapped images are also addressed, especially the required processing that must be performed by the focal-plane operator after the tone mapping, in order to yield images without color distortions.Cenas no mundo real podem conter uma ampla faixa de valores de diferentes intensidades luminosas. Mostrar a cena original em um aparelho de exibição convencional, tal como um monitor de computador, leva a uma (possivelmente grande) perda de detalhes na cena exibida, uma vez que esses aparelhos são capazes de representar somente uma quantidade limitada de diferentes intensidades luminosas, as quais ocupam uma faixa de valores menor. Para diminuir a perda de detalhes, antes de ser exibida em tais aparelhos, a cena deve ser processada por um algoritmo de tone mapping, o qual mapeia os valores originais de intensidade luminosa em valores que são representáveis pelo aparelho de exibição, acomodando, com isso, a alta faixa dinâmica dos valores de entrada em uma faixa de valores menor. Neste trabalho, uma comparação entre diferentes algoritmos de tone-mapping é apresentada. Mais especificamente, são comparados entre si os desempenhos (referentes a tempos de execução e qualidade geral da imagem processada) da versão digital do operador de tone mapping originalmente proposto por Fernández-Berni et al. [11] que ´e implementado no plano focal da câmera e de diferentes operadores de tone mapping que são originalmente implementados em software. Além disso, uma segunda versão digital do operador no plano focal, a qual simula uma versão modificada da implementação original em hardware, é considerada e seu desempenho é analisado. Essa versão modificada requer um hardware que é menos complexo e ocupa menos espaço que o hardware da implementação original, além de, subjetivamente, manter a qualidade geral da imagem próxima daquela alcançada por operadores digitais. Questões referentes às cores das imagens processadas também são tratadas, especialmente os processamentos que são requeridos pelo operador do plano focal após o tone mapping, de modo a gerar imagens sem distorções de cor

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

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    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
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