103,883 research outputs found

    Novel characteristics of electroluminescent diodes utilizing poly(3-Alkylthiophene)s and organic molecules

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    IS&T/SPIE's Symposium on Electronic Imaging: Science and Technology, 1993, San Jose, CA, United StatesYutaka Ohmori, Masao Uchida, Chikayoshi Morishima, Akihiko Fujii, and Katsumi Yoshino "Novel characteristics of electroluminescent diodes utilizing poly(3-alkylthiophene)s and organic molecules", Proc. SPIE 1910, Electroluminescent Materials, Devices, and Large-Screen Displays, (27 August 1993). DOI: https://doi.org/10.1117/12.15113

    In the quest of vision-sensors-on-chip: Pre-processing sensors for data reduction

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    This paper shows that the implementation of vision systems benefits from the usage of sensing front-end chips with embedded pre-processing capabilities - called CVIS. Such embedded pre-processors reduce the number of data to be delivered for ulterior processing. This strategy, which is also adopted by natural vision systems, relaxes system-level requirements regarding data storage and communications and enables highly compact and fast vision systems. The paper includes several proof-o-concept CVIS chips with embedded pre-processing and illustrate their potential advantages. © 2017, Society for Imaging Science and Technology.Office of Naval Research (USA) N00014-14-1-0355Ministerio de Economía y Competitiviad TEC2015-66878-C3-1-R, TEC2015-66878-C3-3-RJunta de Andalucía 2012 TIC 233

    Camera System Performance Derived from Natural Scenes

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    The Modulation Transfer Function (MTF) is a well-established measure of camera system performance, commonly employed to characterize optical and image capture systems. It is a measure based on Linear System Theory; thus, its use relies on the assumption that the system is linear and stationary. This is not the case with modern-day camera systems that incorporate non-linear image signal processes (ISP) to improve the output image. Non-linearities result in variations in camera system performance, which are dependent upon the specific input signals. This paper discusses the development of a novel framework, designed to acquire MTFs directly from images of natural complex scenes, thus making the use of traditional test charts with set patterns redundant. The framework is based on extraction, characterization and classification of edges found within images of natural scenes. Scene derived performance measures aim to characterize non-linear image processes incorporated in modern cameras more faithfully. Further, they can produce ‘live’ performance measures, acquired directly from camera feeds

    Focal Spot, Spring 1993

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    https://digitalcommons.wustl.edu/focal_spot_archives/1063/thumbnail.jp

    Focal Spot, Fall/Winter 1986

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    https://digitalcommons.wustl.edu/focal_spot_archives/1044/thumbnail.jp

    Focal Spot, Fall/Winter 1996

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    https://digitalcommons.wustl.edu/focal_spot_archives/1071/thumbnail.jp

    Focal Spot, Spring 1990

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    https://digitalcommons.wustl.edu/focal_spot_archives/1054/thumbnail.jp
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