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

The University of New Mexico.

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

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Intelligent ROIC for Real-time In-pixel Image Processing./
作者:	GhasemiBenhnagi, Mohammad Javad.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2017,
面頁冊數:	149 p.
附註:	Source: Dissertation Abstracts International, Volume: 79-01(E), Section: B.
Contained By:	Dissertation Abstracts International79-01B(E).
標題:	Engineering. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10258535
ISBN:	9780355149036

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

Intelligent ROIC for Real-time In-pixel Image Processing. - Ann Arbor : ProQuest Dissertations & Theses, 2017 - 149 p.

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

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

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.

ISBN: 9780355149036Subjects--Topical Terms:

561152
Engineering.

Intelligent ROIC for Real-time In-pixel Image Processing.
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500 $a Adviser: Payman Zarkesh-Ha.
502 $a Thesis (Ph.D.)--The University of New Mexico, 2017.
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.
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