Characteristics And Performance Of Image Sensor Communication

• doi: 10.1109/JPHOT.2017.2681660
• title: Characteristics and Performance of Image Sensor Communication
• publisher: IEEE
• isbn:
• issn: 1943-0647
• rank: 1910
• access_type: OPEN_ACCESS
• content_type: Journals
• abstract: A complementary metal-oxide semiconductor (CMOS) image sensor can be used for communication, in addition to imaging. This paper investigates noise characteristics and system performance for CMOS image sensor communication. Different signal-dependent and independent noise sources are categorized and comprehensively analyzed in conjunction with sensor measurements. Accordingly, a unified channel model in the pixel-matched case is proposed, and the communication signal-to-noise ratio is defined and demonstrated in different parameter settings. Moreover, the channel capacity with mixed noise and bounded input is derived and is proven to be achievable by a discrete input distribution of finite number of probability mass points. Simulation shows that capacity of more than 7 b/s/Hz per pixel or 8-10 b/s/Hz per block of multiple pixels is achievable.
• article_number: 7878623
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7878623
• html_url: https://ieeexplore.ieee.org/document/7878623/
• abstract_url: https://ieeexplore.ieee.org/document/7878623/
• publication_title: IEEE Photonics Journal
• conference_location:
• conference_dates:
• publication_number: 4563994
• is_number: 7862332
• publication_year: 2017
• publication_date: April 2017
• start_page: 1
• end_page: 19
• citing_paper_count: 27
• citing_patent_count: 0
• download_count: 3608
• insert_date: 20170314
• index_terms:
  • ieee_terms:
    • Photonics
    • Dark current
    • CMOS image sensors
    • Signal to noise ratio
    • Semiconductor device modeling
    • System performance
    • Noise measurement
  • author_terms:
    • Image sensor communication
    • mixed signal-dependent Gaussian noise
    • capacity.
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • System Performance
    • Noise Sources
    • Channel Model
    • Discrete Distribution
    • Discrete Probability Distribution
    • Sensor Measurements
    • Noise Characteristics
    • Noise Features
    • Channel Capacity
    • Pixel Block
    • Normal Distribution
    • Gaussian Distribution
    • Light Source
    • Integration Time
    • Input Signal
    • Capacity Of System
    • Mutual Information
    • Block Size
    • Photocurrent
    • Thermal Noise
    • Current Noise
    • Shot Noise
    • Poisson Noise
    • Dark Current
    • Volume Constraint
    • Intensity Constraints
    • Quantization Noise
    • Dark Noise
    • Dark Signal
    • Flicker Noise
    • Sensor Pixel
    • Poisson Process
    • Poisson Point Process
    • Noise Model
• authors:
  • Author Name: Wei Huang
    Affiliation: Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, Anhui, China
    Author URL: https://ieeexplore.ieee.org/author/37085403194
    ID: 37085403194
    Order: 1
    Author Affiliations:
    • Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, Anhui, China
  • Author Name: Zhengyuan Xu
    Affiliation: Shenzhen Graduate School, Tsinghua University, Shenzhen, China
    Author URL: https://ieeexplore.ieee.org/author/37085336087
    ID: 37085336087
    Order: 2
    Author Affiliations:
    • Shenzhen Graduate School, Tsinghua University, Shenzhen, China
    • Key Laboratory of Wireless-Optical Communications, University of Science and Technology of China, Hefei, Anhui, China

Image Sensor

• sensor_type: CMOS
• resolution: 672 x 380 pixels
• dynamic_range: Not specified
• pixel_size: 2 µm x 2 µm
• dark_current: 4 mV/sec @ 60°C

Optical Data

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

Performance Metrics

• frame_rate: 330 fps
• signal_to_noise_ratio: 25-38 dB
• noise: Read noise σ_read = 30 e-

Applications & Benefits

• cell_imaging: Applicable in medical devices and imaging systems.
• benefits: Enables digital imaging in smartphones, medical devices, and automotive systems.

Supporting Organizations

• supported_by: National Key Basic Research Program of China, National Natural Science Foundation of China, Chinese Academy of Sciences, Shenzhen Graduate School of Tsinghua University, Guangdong Province.

Manuscript Details

• publication_date: April 2017

Relevancy Score

• score: 10
• missing_fields:
  • dynamic_range
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • sensitivity
  • shutter_speed
  • power_consumption

Processed JSON Filename

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