A Pipelined Temporal Difference Imager
- doi: 10.1109/JSSC.2003.822777
- title: A pipelined temporal difference imager
- publisher: IEEE
- isbn:
- issn: 1558-173X
- rank: 1236
- access_type: LOCKED
- content_type: Journals
-
abstract: A 189/spl times/182 active pixel sensor (APS)
for temporal difference computation is presented. The temporal
difference imager (TDI), fabricated in 0.5-/spl mu/m CMOS process,
contains in-pixel storage elements for a previous image frame.
Difference double-sampling circuits are used to suppress the fixed
pattern noise in both images and to compute the difference between the
corrected images. The pixel area occupies 25 /spl mu/m by 25 /spl mu/m
(using 0.7-/spl mu/m scalable rules), with fill factor of 30%. A novel
pipelined readout technique is described, which is used to improve the
accuracy of the temporal difference computation. With this pipelined
readout architecture, >8-bit precision for the difference image and low
spatial droop across the difference image is achieved. The chip consumes
30 mW at 50 fps from a 5-V power supply.
- article_number: 1269933
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1269933
-
html_url:
https://ieeexplore.ieee.org/document/1269933/
-
abstract_url:
https://ieeexplore.ieee.org/document/1269933/
-
publication_title: IEEE Journal of Solid-State Circuits
- conference_location:
- conference_dates:
- publication_number: 4
- is_number: 28416
- publication_year: 2004
- publication_date: March 2004
- start_page: 538
- end_page: 543
- citing_paper_count: 30
- citing_patent_count: 1
- download_count: 444
- insert_date: 20040303
-
index_terms:
-
ieee_terms:
- Image storage
- Phase distortion
- Computer architecture
- Video compression
- Layout
- Delay effects
- Leakage current
- Circuits
- Atmospheric waves
- Atmosphere
-
dynamic_index_terms:
- Temporal Differences
- Temporal Deviation
- CMOS Process
- Storage Elements
- Time Delay
- Operation Mode
- Difference In Accuracy
- Image Intensity
- Consecutive Frames
- Consecutive Images
- Hold Time
- Store Of Value
- Temporal Images
- Rest Of The Image
- Image Storage
- Pipeline Stages
- Voltage Swing
- Video Compression
- Integration Period
- Capacitor C1
- Capacitors C2
- Reset Voltage
- Offset Error
- Compression Algorithm
- Integration Time
- Rotational Speed
- Rotation Rate
- Grayscale Value
- Greyscale Values
- Light Intensity
- Wavefront
- Decay Rate
- Radioactive Decay
-
authors:
-
Author Name: V. Gruev
Affiliation: Electrical and Computer Engineering
Department, Johns Hopkins University, Baltimore, MD, USA
Author URL:
https://ieeexplore.ieee.org/author/37269503900
ID: 37269503900
Order: 1
Author Affiliations:
-
Electrical and Computer Engineering Department, Johns Hopkins
University, Baltimore, MD, USA
-
Author Name: Ralph Etienne-Cummings
Affiliation: Electrical and Computer Engineering
Department, Johns Hopkins University, Baltimore, MD, USA
Author URL:
https://ieeexplore.ieee.org/author/37087990085
ID: 37087990085
Order: 2
Author Affiliations:
-
Electrical and Computer Engineering Department, Johns Hopkins
University, Baltimore, MD, USA
Image Sensor
- sensor_type: CMOS
- resolution: 189x182
- dynamic_range: Not specified
- pixel_size: 5 µm
- dark_current: Not specified
Optical Data
- focal_length: Not specified
- aperture: Not specified
- field_of_view: Not specified
- distortion: Not specified
Performance Metrics
- frame_rate: 50 fps
- power_consumption: 30 mW
-
noise: Fixed pattern noise (0.6% of saturation level)
Applications & Benefits
-
cell_imaging: The imager is intended for wavefront
phase correction in free-space laser communication systems.
-
benefits: The architecture provides 8-bit precision for
the difference between two consecutive images at 50 fps.
Supporting Organizations
-
supported_by: Supported by an ARL collaboration grant
and the National Science Foundation under Award ECS-001-0026.
Manuscript Details
- publication_date: March 2004
Relevancy Score
- score: 9
-
missing_fields:
- fill factor
- quantum efficiency
- readout speed
- noise sources
- analog-to-digital conversion techniques
- use of microlenses
- on-chip colour filters
- global or rolling shutters
- backside illumination
Processed JSON Filename
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