A Lowpower Energyharvesting Logarithmic Cmos Image Sensor With
Reconfigurable Resolution Using Twolevel Quantization Scheme
- doi: 10.1109/TCSII.2010.2104010
-
title: A Low-Power Energy-Harvesting Logarithmic CMOS
Image Sensor With Reconfigurable Resolution Using Two-Level Quantization
Scheme
- publisher: IEEE
- isbn:
- issn: 1558-3791
- rank: 808
- access_type: LOCKED
- content_type: Journals
-
abstract: In this brief, a CMOS image sensor that
exploits the possibility of reconfiguring pixel photodiodes for energy
harvesting for wireless image sensor applications is proposed. Based on
the logarithmic sensor architecture, each pixel photodiode of the
proposed sensor array can be configured into either photosensing or
energy-harvesting element to accomplish image-capturing or
energy-harvesting purpose, respectively. An addressing scheme for
reduced resolution readout and improved energy-harvesting efficiency,
and a two-level quantization scheme for reduced readout dynamic power
consumption are also proposed.
- article_number: 5713245
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5713245
-
html_url:
https://ieeexplore.ieee.org/document/5713245/
-
abstract_url:
https://ieeexplore.ieee.org/document/5713245/
-
publication_title: IEEE Transactions on Circuits and
Systems II: Express Briefs
- conference_location:
- conference_dates:
- publication_number: 8920
- is_number: 5719224
- publication_year: 2011
- publication_date: Feb. 2011
- start_page: 80
- end_page: 84
- citing_paper_count: 37
- citing_patent_count: 4
- download_count: 1811
- insert_date: 20110214
-
index_terms:
-
ieee_terms:
- Pixel
- Image sensors
- Image resolution
- Quantization
- Arrays
- Photodiodes
-
author_terms:
- Energy harvesting
- low-power CMOS image sensor
- reconfigurable resolution
- two-level quantization
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Quantization Scheme
- Quantification Strategy
- Low-power Sensors
- Power Consumption
- Photodiode
- Wireless Sensor
- Sensor Array
- Wireless Applications
- Radio Applications
- Dynamic Power Consumption
- Quantum
- Building Blocks
- Negation
- Image Quality
- Dynamic Range
- Low Voltage
- Signal Values
- Photocurrent
- Sensor Networks
- Peak Signal-to-noise Ratio
- PSNR
- Global Circuits
- Fair Weather Conditions
- Wireless Sensor Networks
- CMOS Process
- Conventional Scheme
- Transistor Size
- Transistor Count
- Radio Frequency Identification
- RFID
- Pixel Array
- Counter Value
- Uniform Source
-
authors:
-
Author Name: M. K. Law
Affiliation: Department of Electronic and Computer
Engineering, Hong Kong University of Science and Technology, Hong
Kong, China
Author URL:
https://ieeexplore.ieee.org/author/37072476800
ID: 37072476800
Order: 1
Author Affiliations:
-
Department of Electronic and Computer Engineering, Hong Kong
University of Science and Technology, Hong Kong, China
-
Author Name: A. Bermak
Affiliation: Department of Electronic and Computer
Engineering, Hong Kong University of Science and Technology, Hong
Kong, China
Author URL:
https://ieeexplore.ieee.org/author/37275353200
ID: 37275353200
Order: 2
Author Affiliations:
-
Department of Electronic and Computer Engineering, Hong Kong
University of Science and Technology, Hong Kong, China
-
Author Name: C. Shi
Affiliation: Department of Electronic and Computer
Engineering, Hong Kong University of Science and Technology, Hong
Kong, China
Author URL:
https://ieeexplore.ieee.org/author/37531101100
ID: 37531101100
Order: 3
Author Affiliations:
-
Department of Electronic and Computer Engineering, Hong Kong
University of Science and Technology, Hong Kong, China
-
Department of Electrical and Computer Engineering, Oregon State
University, Corvallis, OR, USA
Image Sensor
- sensor_type: CMOS
- resolution: 32 x 32 pixels
- dynamic_range: 84.9 dB
- pixel_size: 15 µm
- dark_current: 4.36 nA/cm²
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
- frame_rate: 21 fps
-
power_consumption: 0.735 nW/pixel/frame at full
resolution
- noise: 18.42% FPN after CDS
Applications & Benefits
-
cell_imaging: Wireless image sensor networks for
applications such as environmental surveillance, structural health
monitoring, military reconnaissance, and medical treatment assistance.
-
benefits: Low-power operation, energy harvesting
capability, reconfigurable resolution, two-level quantization for reduced
power consumption.
Supporting Organizations
-
supported_by: Research Grant Council of Hong Kong under
CERG Grant 610507 and Grant 610509
Manuscript Details
- publication_date: Feb. 2011
Relevancy Score
- score: 8
-
missing_fields:
- focal_length
- aperture
- field_of_view
- distortion
- signal_to_noise_ratio
- sensitivity
- shutter_speed
Processed JSON Filename
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