A Nonlinear Adc For Cmos Image Sensor

• doi: 10.1109/ICSICT.2018.8565808
• title: A Nonlinear ADC for CMOS Image Sensor
• publisher: IEEE
• isbn: 978-1-5386-4442-3
• issn:
• rank: 854
• access_type: LOCKED
• content_type: Conferences
• abstract: In this paper, a 10-bit nonlinear analog-to-digital converter (ADC) of CMOS image sensors (CIS) is proposed for the lensless cell imaging system, aiming at cell images local contrast enhancement by nonlinear quantization. The nonlinear ADC is consisted of a single-slope ADC (SS ADC) and a configurable multi-frequency counter, which achieves a local contrast enhancement algorithm to reduce noise and power dissipation. This ADC is designed using 0.11-μm CMOS process. The simulation results show that the differential nonlinearity (DNL) of the proposed circuit is +0.34LSB/-0.34LSB and the integral nonlinearity (INL) is +0.78LSB/-0.98LSB.
• article_number: 8565808
• pdf_url: https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8565808
• html_url: https://ieeexplore.ieee.org/document/8565808/
• abstract_url: https://ieeexplore.ieee.org/document/8565808/
• publication_title: 2018 14th IEEE International Conference on Solid-State and Integrated Circuit Technology (ICSICT)
• conference_location: Qingdao, China
• conference_dates: 31 Oct.-3 Nov. 2018
• publication_number: 8540788
• is_number: 8564801
• publication_year: 2018
• publication_date: 31 Oct.-3 Nov. 2018
• start_page: 1
• end_page: 3
• citing_paper_count: 0
• citing_patent_count: 0
• download_count: 364
• insert_date: 20181206
• index_terms:
  • ieee_terms:
    • Analog-digital conversion
    • Quantization (signal)
    • Simulation
    • Frequency conversion
    • Mathematical model
    • CMOS image sensors
  • dynamic_index_terms:
    • Image Sensor
    • Camera Sensor
    • Simulation Results
    • Imaging System
    • Cell Imaging
    • Analog-to-digital Converter
    • Analog-to-digital
    • Digital-to-analog Converter
    • Cell Nuclei
    • Cell Nucleus
    • Operation Mode
    • High Contrast
    • Low Contrast
    • Linear Mode
    • Linear Transition
    • Input Noise
    • Counting Mode
    • Quantization Noise
    • Conversion Gain
    • Nonlinear Modes
    • Contrast Mode
    • Nonlinear Conversion
• isbn_formats:
  • format: Print on Demand(PoD) ISBN, value: 978-1-5386-4442-3, isbnType: New-2005
  • format: CD, value: 978-1-5386-4439-3, isbnType: New-2005
  • format: Print ISBN, value: 978-1-5386-4440-9, isbnType: New-2005
  • format: Electronic ISBN, value: 978-1-5386-4441-6, isbnType: New-2005
• authors:
  • Author Name: Miao Xie
    Affiliation: School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China
    Author URL: https://ieeexplore.ieee.org/author/37086537158
    ID: 37086537158
    Order: 1
    Author Affiliations:
    • School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China
  • Author Name: Ningmei Yu
    Affiliation: School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China
    Author URL: https://ieeexplore.ieee.org/author/37588111700
    ID: 37588111700
    Order: 2
    Author Affiliations:
    • School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China
  • Author Name: Hejiu Zhang
    Affiliation: School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China
    Author URL: https://ieeexplore.ieee.org/author/37086112754
    ID: 37086112754
    Order: 3
    Author Affiliations:
    • School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China
  • Author Name: Nan Lyu
    Affiliation: School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China
    Author URL: https://ieeexplore.ieee.org/author/37086109539
    ID: 37086109539
    Order: 4
    Author Affiliations:
    • School of Automation and Information Engineering, Xi’an University of Technology, Shaanxi Xi’an, China

Image Sensor

• sensor_type: CMOS
• resolution: 10-bit resolution
• 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

• noise: input noise expressed as terms of thermal noise, photon shot noise, and column circuit noise; quantization noise is also considered for different intervals.

Applications & Benefits

• cell_imaging: Used for lensless cell imaging system, particularly for enhancing local contrast in cell images.
• benefits: Improves contrast without amplifying quantization noise, reduces noise impact compared to off-chip segmentation contrast stretching.

Supporting Organizations

• supported_by: National Natural Science Foundation of China No.61471296 and No.61771388.

Manuscript Details

• publication_date: 31 Oct.-3 Nov. 2018

Relevancy Score

• score: 9
• missing_fields:
  • dynamic_range
  • pixel_size
  • dark_current
  • focal_length
  • aperture
  • field_of_view
  • distortion
  • frame_rate
  • signal_to_noise_ratio
  • sensitivity
  • shutter_speed
  • power_consumption

Processed JSON Filename

request_b533d38d-ca6d-424b-ac58-4c7393f303b6-a_nonlinear_adc_for_cmos_image_sensor.json