1,085 research outputs found

    Rolling shutter-induced aberrations in laser guide star wavefront sensing

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    Laser guide star (LGS) Shack-Hartmann (SH) wavefront sensors for next-generation Extremely Large Telescopes (ELTs) require low-noise, large format ( 1/41 Mpx), fast detectors to match the need for a large number of subapertures and a good sampling of the very elongated spots. One path envisaged to fulfill this need has been the adoption of complementary metal metal-oxide semiconductor detectors with a rolling shutter read-out scheme that allows low read-out noise and fast readout time at the cost of image distortion due to the detector rows exposed in different moments. Here, we analyze the impact of the rolling shutter read-out scheme when used for LGS SH wavefront sensing; in particular, we focus on the impact on the adaptive optics (AO) correction of the distortion-induced aberrations created by the rolling exposure in the case of fast varying aberrations, like the ones coming from the LGS tilt jitter due to the up-link propagation of laser beams. We show that the LGS jitter-induced aberration for an ELT can be as large as 100-nm root-mean-square, a significant term in the wavefront error budget of a typical AO system on an ELT, and we discuss possible mitigation strategies

    Software-Defined Lighting.

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    For much of the past century, indoor lighting has been based on incandescent or gas-discharge technology. But, with LED lighting experiencing a 20x/decade increase in flux density, 10x/decade decrease in cost, and linear improvements in luminous efficiency, solid-state lighting is finally cost-competitive with the status quo. As a result, LED lighting is projected to reach over 70% market penetration by 2030. This dissertation claims that solid-state lighting’s real potential has been barely explored, that now is the time to explore it, and that new lighting platforms and applications can drive lighting far beyond its roots as an illumination technology. Scaling laws make solid-state lighting competitive with conventional lighting, but two key features make solid-state lighting an enabler for many new applications: the high switching speeds possible using LEDs and the color palettes realizable with Red-Green-Blue-White (RGBW) multi-chip assemblies. For this dissertation, we have explored the post-illumination potential of LED lighting in applications as diverse as visible light communications, indoor positioning, smart dust time synchronization, and embedded device configuration, with an eventual eye toward supporting all of them using a shared lighting infrastructure under a unified system architecture that provides software-control over lighting. To explore the space of software-defined lighting (SDL), we design a compact, flexible, and networked SDL platform to allow researchers to rapidly test new ideas. Using this platform, we demonstrate the viability of several applications, including multi-luminaire synchronized communication to a photodiode receiver, communication to mobile phone cameras, and indoor positioning using unmodified mobile phones. We show that all these applications and many other potential applications can be simultaneously supported by a single lighting infrastructure under software control.PhDElectrical EngineeringUniversity of Michigan, Horace H. Rackham School of Graduate Studieshttp://deepblue.lib.umich.edu/bitstream/2027.42/111482/1/samkuo_1.pd

    Development of a fundus camera for analysis of photoreceptor directionality in the healthy retina

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    The Stiles-Crawford effect (SCE) is the well-known phenomenon in which the brightness of light perceived by the human eye depends upon its entrance point in the pupil. This physiological characteristic is due to the directional sensitivity of the cone photoreceptors in the retina and it displays an approximately Gaussian dependency which is altered in a number of pathologies. Retinal imaging, a widely spread clinical practice, may be used to evaluate the SCE and thus serve as diagnostic tool. Nonetheless, its use for such a purpose is still underdeveloped and far from the clinical reality. In this project a fundus camera was built and used to assess the cone photoreceptor directionality by reflective imaging of the retina in healthy individuals. The physical and physiological implications of its development are addressed in detail in the text: the optical properties of the human eye, illumination issues, acquiring a retinal image formed by the eye, among others. A full description of the developmental process that led to the final measuring method and results is also given. The developed setup was successfully used to obtain high quality images of the eye fundus and in particular the parafoveal cone photoreceptors. The SCE was successfully observed and characterized. Even though considerable improvements could be done to the measurement method, the project showed the feasibility of using retinal imaging to evaluate the SCE thus motivating its usage in a clinical environment

    Computational Optical Sectioning in Fibre Bundle Endomicroscopy

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    The field of fibre bundle endomicroscopy has emerged to enable real-time imaging of cellular level features in-vivo. The gold standard is confocal laserscanning, enabling optical sectioning. Point-scan confocal suffers from lower speeds, a need for complex alignment, and the added cost of a laser. This thesis presents three developments in computational optical sectioning for fibre bundle endomicroscopy.The first development is in structured illumination (SIM) endomicroscopy. Lower-cost, simplified endomicroscopes have been developed which use widefield incoherent illumination. Optical sectioning can be introduced to these systems using SIM. SIM improves imaging using spatial modulation of the focal plane and capturing a three-frame sequence. The acquired images are then numerically processed to reject out-of-focus light. This thesis reports and characterises the first high-speed SIM endomicroscope built using a miniature array ofmirrors, a digital micromirror device. The second development is automated motion compensation in SIM endomicroscopy. As a multi frame process, SIM is susceptible to motion artefacts, making the technique difficult to use in vivo and preventing the use of mosaicking to synthesise a larger effective field of view. I report and validate an automatic motion compensation technique to overcome motion artefacts and report the firstmosaics in SIM endomicroscopy.The third development is improvements in subtraction-based enhanced line scanning (ELS) endomicroscopy. The 2D scanning of a point scan confocal endomicroscope can be replaced by a scanning line which is synchronised to the sequential readout of a rolling shutter camera. While this leads to high-speed sectioning, as with all line scanning systems, far-from-focus light degrades images. It is possible to remove this by subtracting a second image taken with an offset detection slit. This has previously required two-cameras or two sequentialframes. The latter introduces motion artefacts. This thesis presents a novel approach to ELS using single frame acquisition with real-time mosaicking at 240frames/s

    Development of a vision-based measurement system for relative motion compensation

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    Masteroppgave i mekatronikk MAS 500 Universitetet i Agder 2014Motion compensation is used in many applications where no relative motion between two objects is desired. In the offshore industry, motion compensation systems are used to increase the operational window during load transfers like crane operations or positioning of gangways for personell transfer. In most systems one or more motion reference units (MRU) are used to measure motion with respect to a world reference frame and compensate for this motion. For motion compensation between two independently moving objects, a MRU-based solution becomes complex when measurements must be exchanged and combined. Vision systems have existed for a long time and are utilized in a wide specter of functions. In this thesis a vision-based system for measuring the relative motion between objects is developed. A camera is fixed to one object, while a pattern is fixed to the other object. Images are acquired of a scene containing the pattern, and the relative motion between the camera and the pattern is computed. Experiments have shown that under static conditions the vision based measurement system detects the heave distance between pattern and camera with less than 0.5 mm deviation at a distance of 2.3 m, and roll and pitch angles of the pattern is computed with less than 0.2_ deviation

    Temporal and Spatial Alignment of Multimedia Signals

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    With the increasing availability of cameras and other mobile devices, digital images and videos are becoming ubiquitous. Research efforts have been made to develop technologies that utilize multiple pieces of multimedia information simultaneously. This dissertation focuses on the temporal and spatial alignment of multimedia signals, which is a fundamental problem that needs to be solved to enable such applications dealing with multiple pieces of multimedia data. The first part of the dissertation addresses the synchronization of multimedia signals. We propose a new modality for audio and video synchronization based on the electric network frequency (ENF) signal naturally embedded in multimedia recordings. Synchronization of audio and video is achieved by aligning the ENF signals. The proposed method offers a significant departure to tackling the audio/video synchronization problem from existing work, and a strong potential to address previously untractable scenarios. Estimation of the ENF signal from video is a challenging task. In order to address the problem of insufficient sampling rate of video, we propose to exploit the rolling shutter mechanism commonly adopted in CMOS camera sensors. Several techniques are designed to alleviate the distortions of motions and brightness changes in videos for ENF estimation. We also address several challenges that are unique to the synchronization of digitized analog audio recordings. Speed offset often occurs in digitized analog audio recordings due to the inconsistency in the tape's rolling speed. We show that the ENF signal captured by the original analog audio recording can be retained in the digitized version. The ENF signal is considered approximately as a single-tone signal and used as a reference to detect and correct speed offsets automatically. A complete multimedia application system often needs to jointly consider both temporal synchronization and spatial alignment. The last part of the dissertation examines the quality assessment of local image features for efficient and robust spatial alignment. We propose a scheme to evaluate the quality of SIFT features in terms of their robustness and discriminability. A quality score is assigned to every SIFT feature based on its contrast value, scale and descriptor, using a quality metric kernel that is obtained in a one-time training phase. Feature selection is performed by retaining features with high quality scores. The proposed approach is also applicable to other local image features, such as the Speeded Up Robust Features (SURF)
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