Torsten Edeler

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In this paper we propose a novel way of using time-of-flight camera depth and intensity images to produce a higher resolution depth image with prior knowledge of spatial noise distribution, which is correlated with the incident light falling on each pixel. The proposed method is compared to well-established methods, and results with real image data are(More)
—In this paper, we present a new compressed-sensing (CS) setup together with a new scalable CS model, which allows the tradeoff between system complexity (number of detectors) and time (number of measurements). We describe the calibration of the system with respect to model parameters and show the reconstruction of compressed measurements according to the(More)
In this paper we present a new compressed sensing model and reconstruction method for multi-detector signal acquisition. We extend the concept of the famous single-pixel camera to a multi-detector device with the benefit of reducing measurement time, while still providing resolution enhancement and deblurring. We provide a scalable model which allows the(More)
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