Variable Optical Filters For Enhanced Image Sensor Performance
- doi: 10.1109/AHS.2012.6268632
-
title: Variable optical filters for enhanced image
sensor performance
- publisher: IEEE
- isbn: 978-1-4673-1914-0
- issn:
- partnum: 12EX7410
- rank: 3951
- access_type: LOCKED
- content_type: Conferences
-
abstract: Image sensors today are more and more used in
all kinds of research applications like outer space or aviation.
Especially in outer space applications it is essential to have reliable
and good quality cameras that can dynamically adapt to different
situations (Fig.2). In the scope of a Fraunhofer IIS internal research
project we are trying to establish a new approach in sensor design,
where pixelwise adjustable opticalfilters in front of the imagesensor
allow for achieving significant improvements in terms of dynamic range,
color space or spectrum. Liquidcrystal technology gives a lot of
opportunities to realize arrays of filter cells, where every filter cell
can be controlled individually. Similar panels are already used in LCD
beamers. The pixel size is about 5μm and the process of manufacturing is
compatible with CMOS image sensor manufacturing. With liquid crystal
technology it is possible to design filters with very diverse
characteristics. The amount of transmitted light can be controlled as
well as the transmitted spectrum. Even polarization can be regulated.
First experiments with custom liquid crystal filters and a simple
demonstrator are promising and we expect to be able to extend the
dynamic range of actual cameras from 60–70dB to more than 110dB by using
this technology.
- article_number: 6268632
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=6268632
-
html_url:
https://ieeexplore.ieee.org/document/6268632/
-
abstract_url:
https://ieeexplore.ieee.org/document/6268632/
-
publication_title: 2012 NASA/ESA Conference on Adaptive
Hardware and Systems (AHS)
- conference_location: Erlangen, Germany
- conference_dates: 25-28 June 2012
- publication_number: 6264152
- is_number: 6268630
- publication_year: 2012
- publication_date: 25-28 June 2012
- start_page: 70
- end_page: 76
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 171
- insert_date: 20120816
-
index_terms:
-
ieee_terms:
- Optical filters
- Image sensors
- Image color analysis
- Adaptive filters
- Liquid crystals
- Cameras
- Filtering theory
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Dynamic Range
- Color Space
- Color Components
- Sensor Design
- Outer Space
- Video Camera
- Test Setup
- Test Apparatus
- Indium Tin Oxide
- High Dynamic Range
- Adaptive Filter
- Feature Filtering
- Filtering Characteristics
- Picture Quality
- Impression Of Quality
- Color Filter
- Liquid Crystal Cell
- Blue Pixels
- Amount Of Pixels
- Quantity Of Pixels
- Hardware-in-the-loop
- Hardware-in-loop
-
isbn_formats:
-
format: Online ISBN,
value: 978-1-4673-1914-0,
isbnType: New-2005
-
format: Print ISBN,
value: 978-1-4673-1915-7,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-4673-1916-4,
isbnType: New-2005
-
authors:
-
Author Name: Michael Schmid
Affiliation: Department Electronic Imaging,
Fraunhofer Institute of Integrated Circuits and Systems, Erlangen,
Germany
Author URL:
https://ieeexplore.ieee.org/author/37087458655
ID: 37087458655
Order: 1
Author Affiliations:
-
Department Electronic Imaging, Fraunhofer Institute of
Integrated Circuits and Systems, Erlangen, Germany
Image Sensor
- sensor_type: CMOS
- resolution: 1920x1080
- dynamic_range: 108dB
- pixel_size: 5µm
- 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 such as
outer space, smartphones, medical imaging, and automotive systems.
-
benefits: Improves dynamic range, adaptability to
different lighting situations, and the capability to handle complex
imaging environments.
Supporting Organizations
- supported_by: Fraunhofer IIS
Manuscript Details
- publication_date: 25-28 June 2012
Relevancy Score
- score: 9
-
missing_fields:
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
Processed JSON Filename
request_3c62d6d6-0422-4666-9456-50593ca2fb9d-variable_optical_filters_for_enhanced_image_sensor_performance.json