A gamma, x-ray and high energy proton radiation-tolerant CIS for space applications

Carrara, Lucio; Niclass, Cristiano; Scheidegger, N.; Shea, Herbert; Charbon, Edoardo

doi:10.1109/isscc.2009.4977297

Cited by 31 publications

(32 citation statements)

References 5 publications

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“…This attention to computational efficiency is important in practice due to extremely large spatial resolutions of the binary sensors. Section V presents numerical results on both synthetic data and images taken by a prototype device [17]. These results verify our theoretical analysis on the binary sensing scheme, demonstrate the effectiveness of our image reconstruction algorithm, and showcase the benefit of using the new binary sensor in acquiring scenes with high dynamic ranges.…”

Section: ) Advantage Over Traditional Sensorssupporting

confidence: 59%

“…We have also applied our reconstruction algorithm to images taken by an experimental sensor based on single-photon avalanche diodes (SPADs) [17]. The sensor has binary-valued pixels with single-photon sensitivities, i.e., the quantization threshold is .…”

Section: Results On Real Sensor Datamentioning

confidence: 99%

“…9. Reconstructing an image from the binary measurements taken by a SPAD sensor [17], with a spatial resolution of 32 2 32 pixels. The final image (lower right corner) is obtained by incorporating 4096 consecutive frames, 50 of which are shown in the figure. by a prototype sensor.…”

Section: Discussionmentioning

confidence: 99%

“…In the case of multiple exposures, the essential structure of -upsampling followed by filtering-remains the same. All we need to do is to replace by the interlaced sequence constructed in (16), the oversampling factor by , and the filter by in (17). Similar to our derivations in (20) and (21) where (36) follows from (12) and (35).…”

Section: A Image Reconstruction By Mlementioning

confidence: 98%

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Bits From Photons: Oversampled Image Acquisition Using Binary Poisson Statistics

Feng

Sbaiz

et al. 2012

IEEE Trans. on Image Process.

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Abstract-We study a new image sensor that is reminiscent of a traditional photographic film. Each pixel in the sensor has a binary response, giving only a 1-bit quantized measurement of the local light intensity. To analyze its performance, we formulate the oversampled binary sensing scheme as a parameter estimation problem based on quantized Poisson statistics. We show that, with a singlephoton quantization threshold and large oversampling factors, the Cramér-Rao lower bound (CRLB) of the estimation variance approaches that of an ideal unquantized sensor, i.e., as if there were no quantization in the sensor measurements. Furthermore, the CRLB is shown to be asymptotically achievable by the maximum-likelihood estimator (MLE). By showing that the log-likelihood function of our problem is concave, we guarantee the global optimality of iterative algorithms in finding the MLE. Numerical results on both synthetic data and images taken by a prototype sensor verify our theoretical analysis and demonstrate the effectiveness of our image reconstruction algorithm. They also suggest the potential application of the oversampled binary sensing scheme in high dynamic range photography.Index Terms-Computational photography, diffraction-limited imaging, digital film sensor, high dynamic range imaging, photonlimited imaging, Poisson statistics, quantization.

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Section: ) Advantage Over Traditional Sensorssupporting

confidence: 59%

Section: Results On Real Sensor Datamentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%