Fpga Based Reconfigurable Platform For Complex Image Processing
- doi: 10.1109/EIT.2006.252111
-
title: FPGA Based Reconfigurable Platform for Complex
Image Processing
- publisher: IEEE
- isbn: 0-7803-9593-X
- issn: 2154-0373
- rank: 2460
- access_type: LOCKED
- content_type: Conferences
-
abstract: Field programmable gate arrays (FPGAs) are in
use to build high performance DSP systems. FPGAs are uniquely suited to
repetitive DSP tasks, such as multiply and accumulate (MAC) operations
in parallel. As a result FPGAs can vastly outperform DSP chips, which
perform operations in an essentially sequential fashion. The interfaces
between FPGA and image sensor have been very slow, which inhibits
possibility of exploiting parallel processing in the FPGA This paper
discusses method to build an image-processing platform using FPGA. This
involves interfacing of FPGA to CMOS image sensor and VGA monitor. We
discuss techniques that helped attending speed of 50 FPS (Frames per
Second) for an interface of CMOS image sensor to FPGA from earlier
reported speed of 3 FPS. A benchmarking application has been executed on
FPGA and DSP based system and comparative real time performance data is
reported
- article_number: 4017689
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4017689
-
html_url:
https://ieeexplore.ieee.org/document/4017689/
-
abstract_url:
https://ieeexplore.ieee.org/document/4017689/
-
publication_title: 2006 IEEE International Conference
on Electro/Information Technology
- conference_location: East Lansing, MI, USA
- conference_dates: 7-10 May 2006
- publication_number: 4017655
- is_number: 4017656
- publication_year: 2006
- publication_date: 7-10 May 2006
- start_page: 204
- end_page: 209
- citing_paper_count: 21
- citing_patent_count: 1
- download_count: 1351
- insert_date: 20061204
-
index_terms:
-
ieee_terms:
- Field programmable gate arrays
- Image processing
- CMOS image sensors
- Image sensors
- Digital cameras
- Digital signal processing chips
- Parallel processing
- Monitoring
- Digital signal processing
- Sensor arrays
-
author_terms:
- CMOS Image Sensor
- Field programmable gate arrays (FPGA)
- Image Processing
- Parallel Processing
-
dynamic_index_terms:
- Image Processing
- Image Sensor
- Camera Sensor
- Frames Per Second
- Digital Camera
- Multiplexing
- Processing Unit
- Analog-to-digital Converter
- Analog-to-digital
- Digital-to-analog Converter
- Modulation Of Processes
- State Machine
- Finite-state
- Finite State Machine
- Edge Detection
- Memory Control
- Output Units
- Unit Yield
- Local Memory
- Rows Of Data
- Clock Cycles
- Synchronization Signal
- Pixel Data
- Data For Each Pixel
- External Memory
- Read Mode
- Image Processing System
-
isbn_formats:
-
format: CD, value: 0-7803-9593-X,
isbnType: Historical
-
format: Print ISBN,
value: 0-7803-9592-1,
isbnType: Historical
-
authors:
-
Author Name: Manish Kumar Birla
Affiliation: Siemens Corporate Technology India,
Bangalore, Karnataka, India
Author URL:
https://ieeexplore.ieee.org/author/37828490000
ID: 37828490000
Order: 1
Author Affiliations:
-
Siemens Corporate Technology India, Bangalore, Karnataka, India
Image Sensor
- sensor_type: CMOS
- resolution: 320x240 (QVGA)
- 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
Applications & Benefits
-
cell_imaging: Used in various applications of image
processing such as security, quality control, and surveillance systems.
-
benefits: High-speed imaging, improved real-time
performance with FPGA.
Supporting Organizations
-
supported_by: Siemens Corporate Technology, India
Manuscript Details
- publication_date: 7-10 May 2006
Relevancy Score
- score: 8
-
missing_fields:
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
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