Histogramequalization Based Adaptive Image Sensor For Realtime Vision
- doi:
-
title: Histogram-Equalization based Adaptive Image
Sensor for real-time Vision
- publisher: IEEE
- isbn: 2-86332-197-8
- issn:
- rank: 2660
- access_type: LOCKED
- content_type: Conferences
-
abstract: This paper presents an adaptive random access
image sensor by using in situ histogram equalization. With this
histogram equalization based adaptation, this retina can adapt
automatically to different lighting conditions without any
opto-mechanical adjustment. Besides its analogue output remains in a
constant dynamic range and this improves the post image coding and
processing efficiency. A 64×64-pixel prototype chip has been designed
and fabricated in a classic 1um Single-Poly Double-Metal CMOS
technology. This prototype chip works correctly and demonstrated all the
expected adaptive behavior.
- article_number: 5468647
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5468647
-
html_url:
https://ieeexplore.ieee.org/document/5468647/
-
abstract_url:
https://ieeexplore.ieee.org/document/5468647/
-
publication_title: ESSCIRC '96: Proceedings of the 22nd
European Solid-State Circuits Conference
- conference_location: Neuchatel, Switzerland
- conference_dates: 17-19 Sept. 1996
- publication_number: 5468575
- is_number: 5468576
- publication_year: 1996
- publication_date: 17-19 Sept. 1996
- start_page: 284
- end_page: 287
- citing_paper_count: 1
- citing_patent_count: 2
- download_count: 49
- insert_date: 20100601
-
index_terms:
-
ieee_terms:
- Image sensors
- Histograms
- CMOS image sensors
- Diodes
- Pixel
- Voltage
- Prototypes
- CMOS technology
- Dynamic range
- Charge coupled devices
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Real-time Visualization
- Histogram Equalization
- Light Conditions
- Adaptive Behavior
- Random Access
- CMOS Technology
- Signal Processing
- CCD Camera
- Charge-coupled Device
- Grayscale
- Gray Level
- Greyscale
- Image Pixels
- Photodiode
- Constant Current
- Output Image
- Sensor Chip
- P-n Junction
- Image Histogram
- Grayscale Histogram
- Laser Pointer
- Cumulative Histogram
-
isbn_formats:
-
format: Print ISBN,
value: 2-86332-197-8,
isbnType: Historical
-
authors:
-
Author Name: Y. Ni
Affiliation: Institut National de
Télécommunications, Evry, France
Author URL:
https://ieeexplore.ieee.org/author/37331993300
ID: 37331993300
Order: 1
Author Affiliations:
- Institut National de Télécommunications, Evry, France
-
Author Name: F. Devos
Affiliation: Institut d'Electronique Fondamentale,
UMR CNRS 8622, Université Paris Sud, Orsay, France
Author URL:
https://ieeexplore.ieee.org/author/37353735800
ID: 37353735800
Order: 2
Author Affiliations:
-
Institut d'Electronique Fondamentale, UMR CNRS 8622, Université
Paris Sud, Orsay, France
-
Author Name: E. Vaillant
Affiliation: Institut National de
Télécommunications, Evry, France
Author URL:
https://ieeexplore.ieee.org/author/37395860400
ID: 37395860400
Order: 3
Author Affiliations:
- Institut National de Télécommunications, Evry, France
Image Sensor
- sensor_type: CMOS
- resolution: 64x64 pixels
- dynamic_range: not specified
- pixel_size: 50µm x 50µm
- dark_current: not specified
Optical Data
- focal_length: not specified
- aperture: f/1.9, f/22
- field_of_view: not specified
- distortion: not specified
Performance Metrics
- frame_rate: 1 MSPS (megapixel per second)
-
noise: 0.2% degradation per second on mean and standard
deviation
Applications & Benefits
-
cell_imaging: Applicable for real-time vision systems,
particularly in fast and varying lighting conditions.
-
benefits: Adaptive behavior without opto-mechanical
adjustment, improved post-image coding efficiency, and greater contrast
sensitivity.
Supporting Organizations
-
supported_by: Institut National des Télécommunications,
Institut d'Electronique Fondamentale
Manuscript Details
- publication_date: 17-19 Sept. 1996
Relevancy Score
- score: 9
-
missing_fields:
- dynamic_range
- dark_current
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- focal_length
- field_of_view
- distortion
Processed JSON Filename
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