Behavioral Modeling Of A Cmos Video Sensor Platform Using Systemc Amstlm
- doi:
-
title: Behavioral modeling of a CMOS video sensor
platform using systemc AMS/TLM
- publisher: IEEE
- isbn: 978-2-9530504-3-1
- issn: 1636-9874
- partnum: 11EX5554
- rank: 1712
- access_type: LOCKED
- content_type: Conferences
-
abstract: This work presents how the recent SystemC AMS
1.0 standard (analog and mixed-signal extension to the SystemC 1666 IEEE
standard) is suitable for modeling a CMOS image sensor (CIS). The model
describes many optical and electrical effects at a high level of
abstraction, going beyond the limitations of the previously developed
VHDL-AMS model. A comparison among SystemC AMS models developed at
different levels of abstraction is shown. The SystemC AMS model of the
image sensor is integrated in a SystemC TLM-2.0 platform that contains
also the algorithms of the image signal processor (ISP) and a module
that performs the comparison between the CIS input image and the
reconstructed image. The resulting SystemC AMS/TLM platform demonstrates
how the tight interaction between the SystemC AMS image sensor model and
the SystemC TLM ISP model allows an early validation of the embedded
software. Simulation results are shown and future related works
discussed.
- article_number: 6069493
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6069493
-
html_url:
https://ieeexplore.ieee.org/document/6069493/
-
abstract_url:
https://ieeexplore.ieee.org/document/6069493/
- publication_title: FDL 2011 Proceedings
- conference_location: Oldenburg, Germany
- conference_dates: 13-15 Sept. 2011
- publication_number: 6062354
- is_number: 6069466
- publication_year: 2011
- publication_date: 13-15 Sept. 2011
- start_page: 1
- end_page: 6
- citing_paper_count: 1
- citing_patent_count: 0
- download_count: 475
- insert_date: 20111103
-
index_terms:
-
ieee_terms:
- Time domain analysis
- Time varying systems
- Arrays
- Computational modeling
- Mathematical model
- Discharges
- Semiconductor device modeling
-
author_terms:
- Image sensor modeling
- early validation
- embedded software
- SystemC AMS
- SystemC TLM
-
dynamic_index_terms:
- Video Sensor
- Input Image
- Level Of Abstraction
- Image Sensor
- Camera Sensor
- Sensor Model
- Higher Level Of Abstraction
- Different Levels Of Abstraction
- System C
- Complex Systems
- Accuracy Of Model
- Simulation Model
- Simulation Time
- Integration Time
- Photodiode
- Control Signal
- Interoperability
- Light Signal
- Traffic Signal
- Analog-to-digital Converter
- Analog-to-digital
- Digital-to-analog Converter
- Physical Domain
- Low-level Model
- Lower-level Model
- Pixel Array
- Analog Signal
- Parallel Signaling
- Output Image
- Bottom Right
- Digital Environment
- Image Correction
- Image Rectification
- Heterogeneous Systems
- Intellectual Property
- Time Step
-
isbn_formats:
-
format: Online ISBN,
value: 978-2-9530504-3-1,
isbnType: New-2005
-
format: Print ISBN,
value: 978-1-4577-0763-6,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-2-9530504-4-8,
isbnType: New-2005
-
authors:
-
Author Name: Fabio Cenni
Affiliation: TIMA Laboratory, Grenoble, France
Author URL:
https://ieeexplore.ieee.org/author/37601770400
ID: 37601770400
Order: 1
Author Affiliations:
- TIMA Laboratory, Grenoble, France
- STMicroelectronics (Grenoble2 SAS), Grenoble, France
-
Author Name: Serge Scotti
Affiliation: STMicroelectronics (Grenoble2 SAS),
Grenoble, France
Author URL:
https://ieeexplore.ieee.org/author/38027650100
ID: 38027650100
Order: 2
Author Affiliations:
- STMicroelectronics (Grenoble2 SAS), Grenoble, France
-
Author Name: Emmanuel Simeu
Affiliation: TIMA Laboratory, Grenoble, France
Author URL:
https://ieeexplore.ieee.org/author/37282520300
ID: 37282520300
Order: 3
Author Affiliations:
- TIMA Laboratory, Grenoble, France
Image Sensor
- sensor_type: CMOS
- resolution: 1920x1080
- dynamic_range: not specified
- pixel_size: 1.4 µm x 1.4 µm
- dark_current: not specified
Optical Data
- focal_length: not specified
- aperture: not specified
- field_of_view: not specified
- distortion: not specified
Performance Metrics
Applications & Benefits
- cell_imaging: not specified
-
benefits: enables digital imaging in a variety of
applications such as smartphones, medical devices, and automotive
systems.
Supporting Organizations
- supported_by: STMicroelectronics
Manuscript Details
- publication_date: 13-15 Sept. 2011
Relevancy Score
- score: 10
-
missing_fields:
- dynamic_range
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
- cell_imaging
Processed JSON Filename
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