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Descriptions of image structureGriffin, Lewis Donald January 1995 (has links)
No description available.
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Nitric oxide signalling in the nervous system of the locust, Schistocerca gregariaColbert, Richard Adrian January 1997 (has links)
No description available.
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Cue combination for depth, brightness and lightness in 3-D scenesWishart, Keith A. January 1996 (has links)
No description available.
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The development of the retinofugal pathway in rodentsColello, Raymond J. January 1989 (has links)
No description available.
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A study of central and eccentric visual perception : ocular dominance and contrast matchingLeat, Susan Jennifer January 1986 (has links)
No description available.
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Aspects of chromatic and temporal processing in normal and impaired human visionSnelgar, Rosemary S. January 1987 (has links)
No description available.
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Low-Complexity Perceptual JPEG2000 Encoder for Aerial ImagesOh, Han, Kim, Yookyung 10 1900 (has links)
ITC/USA 2011 Conference Proceedings / The Forty-Seventh Annual International Telemetering Conference and Technical Exhibition / October 24-27, 2011 / Bally's Las Vegas, Las Vegas, Nevada / A highly compressed image inevitably has visible compression artifacts. To minimize these artifacts, many compression algorithms exploit the varying sensitivity of the human visual system (HVS) to different frequencies. However, this sensitivity has typically been measured at the near-threshold level where distortion is just noticeable. Thus, it is unclear that the same sensitivity applies at the supra-threshold level where distortion is highly visible. In this paper, we measure the sensitivity of the HVS for several supra-threshold distortion levels based on our JPEG2000 distortion model. Then, a low-complexity JPEG2000 encoder using the measured sensitivity is described. For aerial images, the proposed encoder significantly reduces encoding time while maintaining superior visual quality compared with a conventional JPEG2000 encoder.
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Electroretinographic mapping of retinal function : evaluation and clinical applicationParks, Stuart William January 1998 (has links)
No description available.
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Optic nerve regenerationMacLaren, Robert E. January 1995 (has links)
No description available.
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Collision avoidance : a biologically inspired neural network for the detection of approaching objectsBlanchard, Jonathan Mark January 1998 (has links)
The frequently studied lobula giant movement detector (LGMD) system of the locust responds most strongly to approaching objects. This thesis describes simulations which were designed with the ultimate aim of constructing a comprehensive model of the neural circuitry showing the effects of individual neurons on the overall responses of the system. The Rind and Bramwell neural network model of the LGMD was studied using new stimuli which revealed that the responses of the model are dependent on the shape of the stimulus. A modification of the model removes this dependence and allows the model to respond to more complex stimuli. Two models of a locust photoreceptor were developed with the aim of producing a detailed model of a light-adapting photoreceptor which could be used to study the responses of the LGMD to natural scenes. The first model, an electrical model of the cell membrane which describes the principal ionic conductances, was found to be overly complex for use in large scale simulations. However, the model was used to calculate from the photoreceptor's impulse response the average conductance change produced by individual photons. The second photoreceptor model, which is suitable for large scale simulations, uses two leaky integrators to mimic the effects of light adaptation on the photoreceptor's response. An electrical model of the lamina region of the optic lobe allowed the proposal that inhibition in the lamina is produced by electrical presynaptic inhibition to be studied, along with the possible effects of this inhibition on the visual input to the LGMD. The responses of the model correspond well with those measured from the LMCs of locusts and other insects, and their implications for the LGMD system are discussed.
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