Interference Stripe Noise Reduction Of Cmos Sensorbased Digital Holographic Measurement System

• doi: 10.1109/JPHOT.2021.3081425
• title: Interference Stripe Noise Reduction of CMOS Sensor-Based Digital Holographic Measurement System
• publisher: IEEE
• isbn:
• issn: 1943-0647
• rank: 2822
• access_type: CCBY - IEEE is not the copyright holder of this material. Please follow the instructions via https://creativecommons.org/licenses/by/4.0/ to obtain full-text articles and stipulations in the API documentation.
• content_type: Journals
• abstract: Comparing with the application of charge coupled device (CCD) sensor, a kind of interference stripe noise (ISN) can be observed easily from the complementary metal-oxide-semiconductor (CMOS) sensor-based digital holographic measurement (DHM) system because a series of optic coatings and filters are used in front of that sensor in order to improve its imaging effect. The improper assembly or the micro manufacturing error of these optic components may create the unexpected interference phenomena in the imaging sensor. To reduce that noise, an effective image processing method is developed. On one hand the Laplacian pyramid method is used to highlight the ISN and a cartoon-texture decomposition technique is carried out to remove the additive ISN. On the other hand, an improved Lee filtering is performed to restrain the multiplicative ISN. Extensive experiment results have shown that the image quality can be improved after the ISN reduction and this method is fit for solving a deionized water temperature estimation application where the texture complexity of target image is relatively low.
• article_number: 9435089
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9435089
• html_url: https://ieeexplore.ieee.org/document/9435089/
• abstract_url: https://ieeexplore.ieee.org/document/9435089/
• publication_title: IEEE Photonics Journal
• conference_location:
• conference_dates:
• publication_number: 4563994
• is_number: 9411616
• publication_year: 2021
• publication_date: June 2021
• start_page: 1
• end_page: 18
• citing_paper_count: 1
• citing_patent_count: 0
• download_count: 886
• insert_date: 20210518
• index_terms:
  • ieee_terms:
    • Optical filters
    • Laplace equations
    • Optical sensors
    • Optical imaging
    • Adaptive optics
    • Holography
    • Holographic optical components
  • author_terms:
    • Digital holographic measurement
    • CMOS sensor
    • interference stripe noise
    • image denoising
    • temperature estimation
  • dynamic_index_terms:
    • Denoising
    • Noise Reduction
    • Digital Measurements
    • Image Processing
    • Image Quality
    • CCD Camera
    • Charge-coupled Device
    • Charge Coupled Device
    • Optical Components
    • Temperature Estimates
    • Image Processing Methods
    • Image Processing Method
    • Interference Phenomenon
    • Interference Phenomena
    • Laplacian Pyramid
    • Laplacian Pyramids
    • Lee Filter
    • Sensors In Order
    • Low-pass
    • Low-pass Filter
    • Digital Images
    • Fast Fourier Transform
    • Inverse Fast Fourier Transform
    • Additive Noise
    • Additive White Gaussian Noise
    • Thermocouple
    • Frequency Spectrum
    • Red Circles
    • Multiplicative Noise
    • Multiple Noise
    • Holographic Images
    • Reference Beam
    • Phase Unwrapping
    • Phase Wrapping
    • Angular Second Moment
    • Microgravity
    • Gray Level Co-occurrence Matrix
    • Gray-level Co-occurrence Matrix
    • Grey-level Co-occurrence Matrix
    • Simulated Images
    • Optical Filter
    • Background Image
• authors:
  • Author Name: Haoting Liu
    Affiliation: Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37086801745
    ID: 37086801745
    Order: 1
    Author Affiliations:
    • Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
  • Author Name: Jianyue Ge
    Affiliation: Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37088878853
    ID: 37088878853
    Order: 2
    Author Affiliations:
    • Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
  • Author Name: Wei Song
    Affiliation: Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37089258956
    ID: 37089258956
    Order: 3
    Author Affiliations:
    • Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences, Beijing, China
  • Author Name: Jinhui Lan
    Affiliation: Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China
    Author URL: https://ieeexplore.ieee.org/author/37267228800
    ID: 37267228800
    Order: 4
    Author Affiliations:
    • Beijing Engineering Research Center of Industrial Spectrum Imaging, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China

Image Sensor

• sensor_type: CMOS
• resolution: Not specified
• dynamic_range: Not specified
• pixel_size: Not specified
• dark_current: Not specified

Optical Data

• focal_length: Not specified
• aperture: Not specified
• field_of_view: Not specified
• distortion: Not specified

Performance Metrics

Applications & Benefits

• cell_imaging: DHM technique used for temperature estimation of deionized water.
• benefits: Lower cost, fast processing speed, and low power consumption.

Supporting Organizations

• supported_by: National Natural Science Foundation of China, State Key Laboratory of Intense Pulsed Radiation Simulation and Effect, and Fundamental Research Fund for the China Central Universities of USTB

Manuscript Details

• publication_date: June 2021

Relevancy Score

• score: 8
• missing_fields:
  • resolution
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • sensitivity
  • shutter_speed
  • power_consumption
  • noise

Processed JSON Filename

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