東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

FindBook

Google Book

Amazon

博客來

Optically Enhancing Event-Based Vision.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Optically Enhancing Event-Based Vision./
作者:	Valencia, Sebastian.
面頁冊數:	1 online resource (53 pages)
附註:	Source: Masters Abstracts International, Volume: 84-11.
Contained By:	Masters Abstracts International84-11.
標題:	Optics. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30488913click for full text (PQDT)
ISBN:	9798379526573

Optically Enhancing Event-Based Vision.
Valencia, Sebastian.

Optically Enhancing Event-Based Vision. - 1 online resource (53 pages)

Source: Masters Abstracts International, Volume: 84-11.

Thesis (M.S.)--The University of Arizona, 2023.

Includes bibliographical references

As an asynchronous imaging sensor with integrated change-detection capabilities, EBS can detect temporal changes in scene brightness as they are happening. However, its capability to detect these changes is implemented in electronics and limits the ability to detect low-contrast objects and generates significant noise, both of which hinder the ability to detect objects of interest. Optical spatial high-pass filtering, and optical photocurrent biasing is introduced to address two key Event-Based Sensor (EBS) limitations in low contrast sensitivity and low-light shot noise. The low-contrast sensitivity of EBS may be improved with optical, coherent high-pass spatial frequency filtering (HPF). This provides contrast amplification to imaged features associated with sharp edges and fine details, increasing the probability of detection of low-contrast moving objects. We present optical HPF to improve detection performance in Event-Based systems. This approach demonstrates a hardware-based solution to improving overall Event-Based system contrast sensitivity by pre-filtering imaged scenes in the optical domain. Measurements show that objects containing features with contrasts as low as 3.53% are discernable, which enables object detection with triple the sensitivity of the standalone EBS. Regarding the noise problem, the sensor's usability in low-light conditions is greatly limited by shot noise from photons and from sensor transistor circuitry. Particularly, low illumination levels signals are limited by parasitic dark current which becomes confused for objects of interest and limits overall signal-to-noise ratio (SNR). EBS noise behavior as a function of illumination level is well documented in literature and suggests that there exists an optimal background illumination level for noise minimization. This work introduces the development of passive noise correction via a synthetic injection of a spatially homogenous light field into the EBS' imaging path. This circumvents significant low-level illumination noise with up to 5x boost in normalized signal minus noise ratio, prior to post-processed noise filtering. This work may guide future development of optical improvements to the EBS and suggests improved practices for enhancing overall system performance.

Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023

Mode of access: World Wide Web

ISBN: 9798379526573Subjects--Topical Terms:

517925
Optics.
Subjects--Index Terms:

Contrast sensitivityIndex Terms--Genre/Form:

542853
Electronic books.

Optically Enhancing Event-Based Vision.
LDR:03656nmm a2200421K 4500 001 2363208
005 20231116093825.5
006 m o d
007 cr mn ---uuuuu
008 241011s2023 xx obm 000 0 eng d
020 $a 9798379526573
035 $a (MiAaPQ)AAI30488913
035 $a AAI30488913
040 $a MiAaPQ $b eng $c MiAaPQ $d NTU
100 1 $a Valencia, Sebastian. $3 3703960
245 1 0 $a Optically Enhancing Event-Based Vision.
264 0 $c 2023
300 $a 1 online resource (53 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: Masters Abstracts International, Volume: 84-11.
500 $a Advisor: Ashok, Amit.
502 $a Thesis (M.S.)--The University of Arizona, 2023.
504 $a Includes bibliographical references
520 $a As an asynchronous imaging sensor with integrated change-detection capabilities, EBS can detect temporal changes in scene brightness as they are happening. However, its capability to detect these changes is implemented in electronics and limits the ability to detect low-contrast objects and generates significant noise, both of which hinder the ability to detect objects of interest. Optical spatial high-pass filtering, and optical photocurrent biasing is introduced to address two key Event-Based Sensor (EBS) limitations in low contrast sensitivity and low-light shot noise. The low-contrast sensitivity of EBS may be improved with optical, coherent high-pass spatial frequency filtering (HPF). This provides contrast amplification to imaged features associated with sharp edges and fine details, increasing the probability of detection of low-contrast moving objects. We present optical HPF to improve detection performance in Event-Based systems. This approach demonstrates a hardware-based solution to improving overall Event-Based system contrast sensitivity by pre-filtering imaged scenes in the optical domain. Measurements show that objects containing features with contrasts as low as 3.53% are discernable, which enables object detection with triple the sensitivity of the standalone EBS. Regarding the noise problem, the sensor's usability in low-light conditions is greatly limited by shot noise from photons and from sensor transistor circuitry. Particularly, low illumination levels signals are limited by parasitic dark current which becomes confused for objects of interest and limits overall signal-to-noise ratio (SNR). EBS noise behavior as a function of illumination level is well documented in literature and suggests that there exists an optimal background illumination level for noise minimization. This work introduces the development of passive noise correction via a synthetic injection of a spatially homogenous light field into the EBS' imaging path. This circumvents significant low-level illumination noise with up to 5x boost in normalized signal minus noise ratio, prior to post-processed noise filtering. This work may guide future development of optical improvements to the EBS and suggests improved practices for enhancing overall system performance.
533 $a Electronic reproduction. $b Ann Arbor, Mich. : $c ProQuest, $d 2023
538 $a Mode of access: World Wide Web
650 4 $a Optics. $3 517925
650 4 $a Engineering. $3 586835
650 4 $a Computer science. $3 523869
650 4 $a Electrical engineering. $3 649834
653 $a Contrast sensitivity
653 $a Event rate
653 $a Event-based sensors
653 $a Fourier optics
653 $a High-pass spatial filtering
653 $a Shot noise
655 7 $a Electronic books. $2 lcsh $3 542853
690 $a 0752
690 $a 0537
690 $a 0544
690 $a 0984
710 2 $a ProQuest Information and Learning Co. $3 783688
710 2 $a The University of Arizona. $b Optical Sciences. $3 1019548
773 0 $t Masters Abstracts International $g 84-11.
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=30488913 $z click for full text (PQDT)