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Intelligent ROIC for Real-time In-pi...

ProQuest Information and Learning Co.

Intelligent ROIC for Real-time In-pixel Image Processing.

紀錄類型:	書目-語言資料,手稿 : Monograph/item
正題名/作者:	Intelligent ROIC for Real-time In-pixel Image Processing./
作者:	GhasemiBenhnagi, Mohammad Javad.
面頁冊數:	1 online resource (149 pages)
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
標題:	Engineering. -
電子資源:	click for full text (PQDT)
ISBN:	9780355149036

Intelligent ROIC for Real-time In-pixel Image Processing.
GhasemiBenhnagi, Mohammad Javad.

Intelligent ROIC for Real-time In-pixel Image Processing. - 1 online resource (149 pages)

Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.

Thesis (Ph.D.)--The University of New Mexico, 2017.

Includes bibliographical references

As the resolution of current image-sensors is increasing and the readout electronics is getting faster, the amount of data produced by these imagers is becoming excessively large to store, transmit and analyze. As a result, sparse data representation has become an interesting research topic in the last few years.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018

Mode of access: World Wide Web

ISBN: 9780355149036Subjects--Topical Terms:

561152
Engineering.
Index Terms--Genre/Form:

554714
Electronic books.

Intelligent ROIC for Real-time In-pixel Image Processing.
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040 $a MiAaPQ $b eng $c MiAaPQ
100 1 $a GhasemiBenhnagi, Mohammad Javad. $3 1148489
245 1 0 $a Intelligent ROIC for Real-time In-pixel Image Processing.
264 0 $c 2017
300 $a 1 online resource (149 pages)
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
500 $a Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
500 $a Adviser: Payman Zarkesh-Ha.
502 $a Thesis (Ph.D.)--The University of New Mexico, 2017.
504 $a Includes bibliographical references
520 $a As the resolution of current image-sensors is increasing and the readout electronics is getting faster, the amount of data produced by these imagers is becoming excessively large to store, transmit and analyze. As a result, sparse data representation has become an interesting research topic in the last few years.
520 $a Human eye contains millions of photoreceptors, however, only some sparse data is transmitted to the optic nerves. Image processing techniques implemented on a chip and at pixel level is the main building blocks for retina-like sensors. In this way, instead of transmitting raw images that requires massive storage and off-line processing, the imager transmits only vital information that is relevant to the application of interest.
520 $a Inspired by human eye and the way retina handles the data, we have implemented two different readout integrated circuits. In the first method, we have modified a conventional CTIA unit cell to implement in-pixel multispectral classification in analog domain. The ROIC is designed to utilize spectrally tunable dot-in-a-well (DWELL) infrared photodetector to exploit the possibility of real-time on-chip multispectral imaging for classification. The unit cells are designed to include all necessary elements needed for spectral classification, including the support for high-voltage time varying positive and negative biases, bipolar integration, and selective sample-and-hold circuits. A test chip was designed and fabricated using TSMC's 350nm high voltage CMOS process (CL035HV-DDD) technology. Comprehensive pre-silicon verification proved functionalities of the chip. A custom reconfigurable PCB board and a flexible FPGA firmware are developed to test the chip in cryostat condition. Initial testing results validate the design specs.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2018
538 $a Mode of access: World Wide Web
650 4 $a Engineering. $3 561152
650 4 $a Electrical engineering. $3 596380
655 7 $a Electronic books. $2 local $3 554714
690 $a 0537
690 $a 0544
710 2 $a ProQuest Information and Learning Co. $3 1178819
710 2 $a The University of New Mexico. $b Electrical Engineering. $3 1148490
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10258535 $z click for full text (PQDT)

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