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Multi-dimensional Optical Imaging
Multi-dimensional Optical Imaging
Multi-dimensional Optical Imaging

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자료유형  
 학위논문 서양
최종처리일시  
20250211151400
ISBN  
9798382372884
DDC  
610
저자명  
Cui, Qi.
서명/저자  
Multi-dimensional Optical Imaging
발행사항  
[Sl] : University of California, Los Angeles, 2024
발행사항  
Ann Arbor : ProQuest Dissertations & Theses, 2024
형태사항  
112 p
주기사항  
Source: Dissertations Abstracts International, Volume: 85-11, Section: B.
주기사항  
Advisor: Gao, Liang.
학위논문주기  
Thesis (Ph.D.)--University of California, Los Angeles, 2024.
초록/해제  
요약Imaging systems capture light rays contain rich information, which can be described by the plenoptic function, \uD835\uDC43(\uD835\uDC65, \uD835\uDC66, \uD835\uDC67, \uD835\uDC62, \uD835\uDC63, \uD835\uDF06, \uD835\uDC61)-where \uD835\uDC65, \uD835\uDC66, \uD835\uDC67 represent spatial coordinates; \uD835\uDC62, \uD835\uDC63 denote emittance angles; \uD835\uDF06 signifies wavelength; and \uD835\uDC61 denotes time. Given a finite photon budget, it is crucial for an imaging system to maximize the information yield from each captured image. Yet, traditional cameras only capture two-dimensional spatial data (\uD835\uDC65, \uD835\uDC66), neglecting the wealth of information.Capturing multi-dimensional information presents significant challenges, primarily due to the complexity of mapping high-dimensional datacubes onto a two-dimensional detector array. This mapping process introduces a fundamental trade-off among various axes of information, such as spatial, angular, and spectral dimensions, which can adversely affect imaging speed, resolution, and other critical parameters. Balancing of these factors often leads to compromises in one aspect to enhance another, pose a significant challenge in designing and implementing a multi-dimensional imaging system.In response to these challenges, this dissertation presents three innovative multi-dimensional optical imaging systems. The first system, snapshot hyperspectral light field imaging utilizing image mapping spectrometer (LF-IMS), represents a five-dimensional (\uD835\uDC65, \uD835\uDC66, \uD835\uDC62, \uD835\uDC63, \uD835\uDF06) imaging system. It is uniquely designed to maintain full light throughput, enabling the capture of detailed three-dimensional spatial and spectral information without sacrificing efficiency. The second system, snapshot hyperspectral light field tomography (Hyper-LIFT), leverages compressed sensing to facilitate five-dimensional (\uD835\uDC65, \uD835\uDC66, \uD835\uDC62, \uD835\uDC63, \uD835\uDF06) imaging. This approach significantly alleviates the tradeoff between different dimensions of information, allowing for capturing an input scene with a more compact sensor, thereby greatly reducing the volume of data generated during image acquisition. The third system, the tunable image projection spectrometer (TIPS), is a Fourier-domain line-scan hyperspectral imager with a tunable compression ratio. Compared to state-of-the-art spatial-domain pushbroom hyperspectral cameras, TIPS requires much fewer measurements and provides a higher light throughput.Furthermore, this dissertation will explore the impact of optical aberrations on the image quality in light field imaging, providing insights into how these imperfections influence the overall imaging performance. A lens design pipeline is proposed to mitigate key aberrations, and its effectiveness is demonstrated through the design of a light field endoscope. Additionally, a rapid calibration method has been proposed for a compact hyperspectral camera, termed the image mapping spectrometer (IMS), reducing the calibration time from weeks to hours.
일반주제명  
Bioengineering
일반주제명  
Optics
일반주제명  
Health sciences
일반주제명  
Medical imaging
일반주제명  
Analytical chemistry
키워드  
Compressed sensing
키워드  
Hyperspectral imaging
키워드  
Imaging systems
키워드  
Light field imaging
키워드  
Optical imaging
키워드  
Datacubes
기타저자  
University of California, Los Angeles Bioengineering 0288
기본자료저록  
Dissertations Abstracts International. 85-11B.
전자적 위치 및 접속  
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MARC

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■040    ▼aMiAaPQ▼cMiAaPQ
■0820  ▼a610
■1001  ▼aCui,  Qi.
■24510▼aMulti-dimensional  Optical  Imaging
■260    ▼a[Sl]▼bUniversity  of  California,  Los  Angeles▼c2024
■260  1▼aAnn  Arbor▼bProQuest  Dissertations  &  Theses▼c2024
■300    ▼a112  p
■500    ▼aSource:  Dissertations  Abstracts  International,  Volume:  85-11,  Section:  B.
■500    ▼aAdvisor:  Gao,  Liang.
■5021  ▼aThesis  (Ph.D.)--University  of  California,  Los  Angeles,  2024.
■520    ▼aImaging  systems  capture  light  rays  contain  rich  information,  which  can  be  described  by  the  plenoptic  function,  \uD835\uDC43(\uD835\uDC65,  \uD835\uDC66,  \uD835\uDC67,  \uD835\uDC62,  \uD835\uDC63,  \uD835\uDF06,  \uD835\uDC61)-where  \uD835\uDC65,  \uD835\uDC66,  \uD835\uDC67  represent  spatial  coordinates;  \uD835\uDC62,  \uD835\uDC63  denote  emittance  angles;  \uD835\uDF06  signifies  wavelength;  and  \uD835\uDC61  denotes  time.  Given  a  finite  photon  budget,  it  is  crucial  for  an  imaging  system  to  maximize  the  information  yield  from  each  captured  image.  Yet,  traditional  cameras  only  capture  two-dimensional  spatial  data  (\uD835\uDC65,  \uD835\uDC66),  neglecting  the  wealth  of  information.Capturing  multi-dimensional  information  presents  significant  challenges,  primarily  due  to  the  complexity  of  mapping  high-dimensional  datacubes  onto  a  two-dimensional  detector  array.  This  mapping  process  introduces  a  fundamental  trade-off  among  various  axes  of  information,  such  as  spatial,  angular,  and  spectral  dimensions,  which  can  adversely  affect  imaging  speed,  resolution, and  other  critical  parameters.  Balancing  of  these  factors  often  leads  to  compromises  in  one  aspect  to  enhance  another,  pose  a  significant  challenge  in  designing  and  implementing  a  multi-dimensional  imaging  system.In  response  to  these  challenges,  this  dissertation  presents  three  innovative  multi-dimensional  optical  imaging  systems.  The  first  system,  snapshot  hyperspectral  light  field  imaging  utilizing  image  mapping  spectrometer  (LF-IMS),  represents  a  five-dimensional  (\uD835\uDC65,  \uD835\uDC66,  \uD835\uDC62,  \uD835\uDC63,  \uD835\uDF06)  imaging  system.  It  is  uniquely  designed  to  maintain  full  light  throughput,  enabling  the  capture  of  detailed  three-dimensional  spatial  and  spectral  information  without  sacrificing  efficiency.  The  second  system,  snapshot  hyperspectral  light  field  tomography  (Hyper-LIFT),  leverages  compressed  sensing  to  facilitate  five-dimensional  (\uD835\uDC65,  \uD835\uDC66,  \uD835\uDC62,  \uD835\uDC63,  \uD835\uDF06)  imaging.  This  approach  significantly  alleviates  the  tradeoff  between  different  dimensions  of  information,  allowing  for  capturing  an  input  scene  with  a  more  compact  sensor,  thereby  greatly  reducing  the  volume  of  data  generated  during  image  acquisition.  The  third  system,  the  tunable  image  projection  spectrometer  (TIPS),  is  a  Fourier-domain  line-scan  hyperspectral  imager  with  a  tunable  compression  ratio.  Compared  to  state-of-the-art  spatial-domain  pushbroom  hyperspectral  cameras,  TIPS  requires  much  fewer  measurements  and  provides  a  higher  light  throughput.Furthermore,  this  dissertation  will  explore  the  impact  of  optical  aberrations  on  the  image  quality  in  light  field  imaging,  providing  insights  into  how  these  imperfections  influence  the  overall  imaging  performance.  A  lens  design  pipeline  is  proposed  to  mitigate  key  aberrations,  and  its  effectiveness  is  demonstrated  through  the  design  of  a  light  field  endoscope.  Additionally,  a  rapid  calibration  method  has  been  proposed  for  a  compact  hyperspectral  camera,  termed  the  image  mapping  spectrometer  (IMS),  reducing  the  calibration  time  from  weeks  to  hours.
■590    ▼aSchool  code:  0031.
■650  4▼aBioengineering
■650  4▼aOptics
■650  4▼aHealth  sciences
■650  4▼aMedical  imaging
■650  4▼aAnalytical  chemistry
■653    ▼aCompressed  sensing
■653    ▼aHyperspectral  imaging
■653    ▼aImaging  systems
■653    ▼aLight  field  imaging
■653    ▼aOptical  imaging
■653    ▼aDatacubes  
■690    ▼a0202
■690    ▼a0752
■690    ▼a0566
■690    ▼a0574
■690    ▼a0486
■71020▼aUniversity  of  California,  Los  Angeles▼bBioengineering  0288.
■7730  ▼tDissertations  Abstracts  International▼g85-11B.
■790    ▼a0031
■791    ▼aPh.D.
■792    ▼a2024
■793    ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17161468▼nKERIS▼z이  자료의  원문은  한국교육학술정보원에서  제공합니다.

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