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Digital camera system simulator and ...

Chen, Ting.

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Digital camera system simulator and applications.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Digital camera system simulator and applications./
Author:	Chen, Ting.
Description:	116 p.
Notes:	Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2311.
Contained By:	Dissertation Abstracts International64-05B.
Subject:	Engineering, Electronics and Electrical. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3090570

Digital camera system simulator and applications.
Chen, Ting.

Digital camera system simulator and applications. - 116 p.

Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2311.

Thesis (Ph.D.)--Stanford University, 2003.

Digital cameras are rapidly replacing traditional analog and film cameras. Despite their remarkable success in the market, most digital cameras today still lag film cameras in image quality and major efforts are being made to improve their performance. Since digital cameras are complex systems combining optics, device physics, circuits, image processing, and imaging science, it is difficult to assess and compare their performance analytically. Moreover, prototyping digital cameras for the purpose of exploring design tradeoffs can be prohibitively expensive. To address this problem, a digital camera simulator---vCam---has been developed and used to explore camera design tradeoffs. This dissertation is aimed at providing a detailed description of vCam and demonstrating its applications with several design studies. The dissertation consists of three main parts. vCam is introduced in the first part, including its physical models, its implementation as a MATLAB toolbox and its correlation with real experiments. In the second part, the application that relies on vCam to select optimal pixel size as part of an image sensor design is presented. To set up the design problem, the tradeoff between sensor dynamic range and spatial resolution as a function of pixel size is discussed. Then a methodology based on vCam for determining optimal pixel size is introduced. The methodology is demonstrated for active pixel sensors implemented in CMOS processes down to 0.18um technology. In the third part, vCam is used to demonstrate algorithms for scheduling multiple captures in a high dynamic range imaging system. Capture time scheduling is first formulated as an optimization problem where average signal-to-noise ratio (SNR) is maximized for a given scene probability density function (pdf). The optimal solution is then presented using convex optimization techniques for a uniform scene pdf, and more generally using D.C. (difference of convex functions) for a piece-wise uniform pdf. A very simple heuristic algorithm is described and shown to produce schedules that are very close to optimal. These theoretical results are then demonstrated on real images using vCam and an experimental high speed imaging system.Subjects--Topical Terms:

626636
Engineering, Electronics and Electrical.

Digital camera system simulator and applications.
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035 $a (UnM)AAI3090570
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100 1 $a Chen, Ting. $3 1287144
245 1 0 $a Digital camera system simulator and applications.
300 $a 116 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-05, Section: B, page: 2311.
500 $a Adviser: Abbas El Gamal.
502 $a Thesis (Ph.D.)--Stanford University, 2003.
520 $a Digital cameras are rapidly replacing traditional analog and film cameras. Despite their remarkable success in the market, most digital cameras today still lag film cameras in image quality and major efforts are being made to improve their performance. Since digital cameras are complex systems combining optics, device physics, circuits, image processing, and imaging science, it is difficult to assess and compare their performance analytically. Moreover, prototyping digital cameras for the purpose of exploring design tradeoffs can be prohibitively expensive. To address this problem, a digital camera simulator---vCam---has been developed and used to explore camera design tradeoffs. This dissertation is aimed at providing a detailed description of vCam and demonstrating its applications with several design studies. The dissertation consists of three main parts. vCam is introduced in the first part, including its physical models, its implementation as a MATLAB toolbox and its correlation with real experiments. In the second part, the application that relies on vCam to select optimal pixel size as part of an image sensor design is presented. To set up the design problem, the tradeoff between sensor dynamic range and spatial resolution as a function of pixel size is discussed. Then a methodology based on vCam for determining optimal pixel size is introduced. The methodology is demonstrated for active pixel sensors implemented in CMOS processes down to 0.18um technology. In the third part, vCam is used to demonstrate algorithms for scheduling multiple captures in a high dynamic range imaging system. Capture time scheduling is first formulated as an optimization problem where average signal-to-noise ratio (SNR) is maximized for a given scene probability density function (pdf). The optimal solution is then presented using convex optimization techniques for a uniform scene pdf, and more generally using D.C. (difference of convex functions) for a piece-wise uniform pdf. A very simple heuristic algorithm is described and shown to produce schedules that are very close to optimal. These theoretical results are then demonstrated on real images using vCam and an experimental high speed imaging system.
590 $a School code: 0212.
650 4 $a Engineering, Electronics and Electrical. $3 626636
690 $a 0544
710 2 0 $a Stanford University. $3 754827
773 0 $t Dissertation Abstracts International $g 64-05B.
790 1 0 $a Gamal, Abbas El, $e advisor
790 $a 0212
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3090570