Cmos Image Sensor With Mixedsignal Processor Array
- doi: 10.1109/JSSC.2003.811980
-
title: CMOS image sensor with mixed-signal processor
array
- publisher: IEEE
- isbn:
- issn: 1558-173X
- rank: 1836
- access_type: LOCKED
- content_type: Journals
-
abstract: We present a single-chip integration of a
CMOS image sensor with an embedded flexible processing array and
dedicated analog-to-digital converter. The processor array is designed
to perform convolution and transformation algorithms with arbitrary
kernels. It has been designed to carry out the multiplication of analog
image data with given digital kernel coefficients and to add up the
results. The processor array is an analog implementation of a highly
parallel architecture which is scalable to any desired sensor resolution
while preserving video-rate operation. A prototype implementation has
been realized in a 0.6-μm CMOS technology. Switched current technique
has been applied to obtain compact and robust circuits. The prototype's
sensor resolution is 64 × 128 pixels. The processor array occupies a
small chip area and consumes only a small percentage of the power (250
μW) of the whole image sensor.
- article_number: 1201997
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=1201997
-
html_url:
https://ieeexplore.ieee.org/document/1201997/
-
abstract_url:
https://ieeexplore.ieee.org/document/1201997/
-
publication_title: IEEE Journal of Solid-State Circuits
- conference_location:
- conference_dates:
- publication_number: 4
- is_number: 27070
- publication_year: 2003
- publication_date: June 2003
- start_page: 948
- end_page: 957
- citing_paper_count: 24
- citing_patent_count: 0
- download_count: 654
- insert_date: 20030605
-
index_terms:
-
ieee_terms:
- Sensor arrays
- CMOS image sensors
- Kernel
- Prototypes
- CMOS technology
- Analog-digital conversion
- Process design
- Algorithm design and analysis
- Convolution
- Parallel architectures
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Processor Array
- Imaging Data
- Analog-to-digital Converter
- Analog-to-digital
- Digital-to-analog Converter
- CMOS Technology
- Sensor Resolution
- Chip Area
- Prototype Implementation
- Random Variables
- Cell Size
- Processing Unit
- Output Current
- Cell Yield
- Cell Output
- Peak Signal-to-noise Ratio
- PSNR
- Sensor Array
- Current Reference
- Digital Signal Processing
- Input Current
- Charge Injection
- Discrete Cosine Transform
- Color Correction
- Correct Colour
- Spatial Convolution
- Current Mirror
- Digital Output
- Coding Tree
- Huffman Coding
- Temporal Noise
- JPEG Compression
- Charged Channel
- Color Space
- Color Components
- High-resolution
-
authors:
-
Author Name: A. Graupner
Affiliation: Department of Electrical Engineering
and Information Technology, Dresden University of Technology,
Dresden, Germany
Author URL:
https://ieeexplore.ieee.org/author/37266954300
ID: 37266954300
Order: 1
Author Affiliations:
-
Department of Electrical Engineering and Information Technology,
Dresden University of Technology, Dresden, Germany
-
Author Name: J. Schreiter
Affiliation: Department of Electrical Engineering
and Information Technology, Dresden University of Technology,
Dresden, Germany
Author URL:
https://ieeexplore.ieee.org/author/37266980200
ID: 37266980200
Order: 2
Author Affiliations:
-
Department of Electrical Engineering and Information Technology,
Dresden University of Technology, Dresden, Germany
-
Author Name: S. Getzlaff
Affiliation: Department of Electrical Engineering
and Information Technology, Dresden University of Technology,
Dresden, Germany
Author URL:
https://ieeexplore.ieee.org/author/37266979400
ID: 37266979400
Order: 3
Author Affiliations:
-
Department of Electrical Engineering and Information Technology,
Dresden University of Technology, Dresden, Germany
-
Author Name: R. Schuffny
Affiliation: Department of Electrical Engineering
and Information Technology, Dresden University of Technology,
Dresden, Germany
Author URL:
https://ieeexplore.ieee.org/author/37266953100
ID: 37266953100
Order: 4
Author Affiliations:
-
Department of Electrical Engineering and Information Technology,
Dresden University of Technology, Dresden, Germany
Image Sensor
- sensor_type: CMOS
- resolution: 64x128 pixels
- dynamic_range: Not specified
- pixel_size: 12x12 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: 60 fps
- signal_to_noise_ratio: 46.7 dB
- power_consumption: 250 µW
-
noise: 0.4%-1.3% (depending on kernel size and biasing)
Applications & Benefits
-
cell_imaging: The image sensor can perform various
image processing functions such as convolution, filtering, and
transformations, essential in applications like image improvement and
color interpolation.
-
benefits: Single-chip integration allows for reduced
size, lower power consumption, and enhanced functionality for real-time
image processing.
Supporting Organizations
-
supported_by: Deutsche Forschungsgemeinschaft (DFG)
Manuscript Details
- publication_date: June 2003
Relevancy Score
- score: 9
-
missing_fields:
- quantum_efficiency
- readout_speed
- noise_sources
- microlenses
- on_chip_colour_filters
- global_or_rolling_shutters
- backside_illumination
Processed JSON Filename
request_021238e5-f646-41f6-b68a-96ed22fdbedf-cmos_image_sensor_with_mixedsignal_processor_array.json