High Performance CMOS Range Imaging (Record no. 1365)
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| fixed length control field | 02536 a2200409 4500 |
| 001 - CONTROL NUMBER | |
| control field | 1138612073 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250317100402.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250312042021xx eng |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781138612075 |
| 037 ## - SOURCE OF ACQUISITION | |
| Source of stock number/acquisition | Taylor & Francis |
| Terms of availability | GBP 48.99 |
| Form of issue | BB |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | 01 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | AJ |
| Source | thema |
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| Subject category code | UYT |
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| Subject category code | NH |
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| Subject category code | JBCT |
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| Subject category code | AF |
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| Subject category code | TJF |
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| Subject category code | H |
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| Subject category code | JFD |
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| Subject category code | COM051240 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC009020 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | TEC015000 |
| Source | bisac |
| 072 7# - SUBJECT CATEGORY CODE | |
| Subject category code | 621.39732 |
| Source | bisac |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Andreas Süss |
| 245 10 - TITLE STATEMENT | |
| Title | High Performance CMOS Range Imaging |
| Remainder of title | Device Technology and Systems Considerations |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1 |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Name of publisher, distributor, etc. | CRC Press |
| Date of publication, distribution, etc. | 20210630 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 262 p |
| 520 ## - SUMMARY, ETC. | |
| Expansion of summary note | This work is dedicated to CMOS based imaging with the emphasis on the noise modeling, characterization and optimization in order to contribute to the design of high performance imagers in general and range imagers in particular. CMOS is known to be superior to CCD due to its flexibility in terms of integration capabilities, but typically has to be enhanced to compete at parameters as for instance noise, dynamic range or spectral response. Temporal noise is an important topic, since it is one of the most crucial parameters that ultimately limits the performance and cannot be corrected. This work gathers the widespread theory on noise and extends the theory by a non-rigorous but potentially computing efficient algorithm to estimate noise in time sampled systems. This work contributed to two generations of LDPD based ToF range image sensors and proposed a new approach to implement the MSI PM ToF principle. This was verified to yield a significantly faster charge transfer, better linearity, dark current and matching performance. A non-linear and time-variant model is provided that takes into account undesired phenomena such as finite charge transfer speed and a parasitic sensitivity to light when the shutters should remain OFF, to allow for investigations of largesignal characteristics, sensitivity and precision. It was demonstrated that the model converges to a standard photodetector model and properly resembles the measurements. Finally the impact of these undesired phenomena on the range measurement performance is demonstrated. |
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