Highresolution Light Field Capture With Coded Aperture

• doi: 10.1109/TIP.2015.2468179
• title: High-Resolution Light Field Capture With Coded Aperture
• publisher: IEEE
• isbn:
• issn: 1941-0042
• rank: 2626
• access_type: LOCKED
• content_type: Journals
• abstract: Acquiring light field with larger angular resolution and higher spatial resolution in low cost is the goal of light field capture. Combining or modifying traditional optical cameras is a usual method for designing light field capture equipment, among which most models should deliberate trade-off between angular and spatial resolution, but augmenting coded aperture avoids this consideration by multiplexing information from different views. On the basis of coded aperture, this paper suggests an improved light field camera model that has double measurements and one mask. The two compressive measurements are respectively realized by a coded aperture and a random convolution CMOS imager, the latter is used as imaging sensor of the camera. The single mask design permits high light efficiency, which enables the sampling images to have high clarity. The double measurement design keeps more correlation information, which is conductive to enhancing the reconstructed light field. The higher clarity and more correlation of samplings mean higher quality of rebuilt light field, which also means higher resolution under condition of a lower PSNR requirement for rebuilt light field. Experimental results have verified advantage of the proposed design: compared with the representative mask-based light field camera models, the proposed model has the highest reconstruction quality and a higher light efficiency.
• article_number: 7194814
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7194814
• html_url: https://ieeexplore.ieee.org/document/7194814/
• abstract_url: https://ieeexplore.ieee.org/document/7194814/
• publication_title: IEEE Transactions on Image Processing
• conference_location:
• conference_dates:
• publication_number: 83
• is_number: 7271151
• publication_year: 2015
• publication_date: Dec. 2015
• start_page: 5609
• end_page: 5618
• citing_paper_count: 9
• citing_patent_count: 0
• download_count: 975
• insert_date: 20150813
• index_terms:
  • ieee_terms:
    • Cameras
    • Mathematical model
    • Semiconductor device modeling
    • Apertures
    • Spatial resolution
    • Convolution
    • Image coding
  • author_terms:
    • Light Field
    • Compressive Sensing
    • Coded Aperture
    • Random Convolution CMOS
    • Light field
    • compressive sensing
    • coded aperture
    • random convolution CMOS
  • dynamic_index_terms:
    • High-resolution
    • Aperture
    • Light Field
    • Coded Aperture
    • Coded Mask
    • Light Field Capture
    • Spatial Resolution
    • High Spatial Resolution
    • Image Sensor
    • Camera Sensor
    • Reconstruction Quality
    • Angular Resolution
    • Camera Model
    • Light Capture
    • Compressive Measurements
    • Camera Array
    • Plenoptic Camera
    • Light Field Camera
    • Traditional Cameras
    • Identity Matrix
    • Unitary Matrix
    • Matrix Elements
    • Sparsity
    • Spatial Dimensions
    • Spatial Attributes
    • Block Size
    • Compression Ratio
    • Measurement Matrix
    • Measurement Matrices
    • Light Rays
    • Ray Optics
    • Restricted Isometry Property
    • Restricted Isometry Constant
    • Angular Imaging
    • Crystal Ball
    • Penetration Rate
    • Uniform Random Distribution
    • Random Code
    • Noise Vector
• authors:
  • Author Name: Yu-Ping Wang
    Affiliation: Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37085636944
    ID: 37085636944
    Order: 1
    Author Affiliations:
    • Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • Author Name: Li-Chun Wang
    Affiliation: Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37539342000
    ID: 37539342000
    Order: 2
    Author Affiliations:
    • Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • Author Name: De-Hui Kong
    Affiliation: Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37278258800
    ID: 37278258800
    Order: 3
    Author Affiliations:
    • Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
  • Author Name: Bao-Cai Yin
    Affiliation: Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37268507700
    ID: 37268507700
    Order: 4
    Author Affiliations:
    • Beijing Key Laboratory of Multimedia and Intelligent Software Technology, College of Metropolitan Transportation, Beijing University of Technology, Beijing, China

Image Sensor

• sensor_type: Random Convolution CMOS
• resolution: Not explicitly stated
• dynamic_range: Not explicitly stated
• pixel_size: Not explicitly stated
• dark_current: Not explicitly stated

Optical Data

• focal_length: Not explicitly stated
• aperture: Not explicitly stated
• field_of_view: Not explicitly stated
• distortion: Not explicitly stated

Performance Metrics

• frame_rate: Not explicitly stated
• signal_to_noise_ratio: Not explicitly stated
• sensitivity: Not explicitly stated
• shutter_speed: Not explicitly stated
• power_consumption: Not explicitly stated
• noise: Not explicitly stated

Applications & Benefits

• cell_imaging: Not explicitly stated
• benefits: Higher clarity and more correlation of samplings leading to higher quality of rebuilt light field.

Supporting Organizations

• supported_by: National Natural Science Foundation of China, Beijing Natural Science Foundation, Funding Project for Academic Human Resources Development in Institutions of Higher Learning Under the Jurisdiction of Beijing Municipality, Jing-Hua Talents Project of the Beijing University of Technology.

Manuscript Details

• publication_date: Dec. 2015

Relevancy Score

• score: 7
• missing_fields:
  • pixel size
  • fill factor
  • quantum efficiency
  • dark current
  • dynamic range
  • power consumption
  • frame rate
  • signal-to-noise ratio
  • sensitivity
  • shutter speed
  • readout speed
  • noise sources
  • analog-to-digital conversion techniques

Processed JSON Filename

request_c655f4f3-7d0f-4a33-a075-2fe5288a7289-highresolution_light_field_capture_with_coded_aperture.json