Title | ||
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A CMOS image sensor with analog pre-processing capability suitable for smart camera applications |
Abstract | ||
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This work presents a novel CMOS sensor which is suitable for analog image processing operations and describes the benefits of analog pre-processing over digital algorithms. All needed modifications to read out a spatial NxN pixel matrix simultaneously are presented regarding pixel wiring, row decoder and column multiplexer as well as descrambling the order of the outputs. The outputs are connected via a buffer stage to the analog pre-processing circuits. As an example for such an analog computation, an averaging filter is described from design constraints to the actual implementation. Simulation results show a very low current consumption of just 55.3 μA under worst-case conditions and a computation time below 200 ns. This corresponds to a power-time product ratio of 1:18.75 compared to a digital state-of-the-art implementation. |
Year | DOI | Venue |
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2015 | 10.1109/ISPACS.2015.7432780 | 2015 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS) |
Keywords | Field | DocType |
Smart Cameras,CMOS Image Sensors,Analog Processing Circuits,Filtering Algorithms,GRK-1773 | Analog device,Analog multiplier,Image sensor,Computer science,Analog image processing,Smart camera,CMOS sensor,Multiplexer,Computer hardware,Digital image processing | Conference |
Citations | PageRank | References |
2 | 0.38 | 4 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Christopher Soell | 1 | 7 | 2.74 |
Lan Shi | 2 | 7 | 2.40 |
Andreas Baenisch | 3 | 8 | 3.03 |
Thomas Ussmueller | 4 | 4 | 4.54 |
robert weigel | 5 | 88 | 44.83 |