A Highresolution Image Acquisition Method With Defectpixel Recovery For
Solidstate Image Sensors
- doi: 10.1109/ICIP.2001.958678
-
title: A high-resolution image acquisition method with
defect-pixel recovery for solid-state image sensors
- publisher: IEEE
- isbn: 0-7803-6725-1
- issn:
- partnum: 01CH37205
- rank: 1100
- access_type: LOCKED
- content_type: Conferences
-
abstract: For super-high-resolution image acquisition
beyond HDTV, a CMOS image sensor is the most promising. At present, a
CMOS image sensor with spatial resolution of 3K/spl times/4K and
temporal resolution of 30 fps is being developed. The serious problem in
fabricating such a super-high-resolution CMOS image sensor is a
tremendously low yield rate, which is caused by occurrence of defect
pixels. If defect pixels are recovered by some post-processing, we can
improve the yield rate dramatically. From this point of view, we propose
a new high-resolution image acquisition method which makes it possible
to utilize a CMOS image sensor having many defect pixels. Our method
deliberately takes a defocused image using an image sensor having defect
pixels, applies a certain image recovery algorithm to it, and thus
produces its focused and repaired version. We study the frequency
response of our method using one-dimensionally sinusoidally changing
chart images, and perform some experimental simulations on real images.
- article_number: 958678
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=958678
-
html_url:
https://ieeexplore.ieee.org/document/958678/
-
abstract_url:
https://ieeexplore.ieee.org/document/958678/
-
publication_title: Proceedings 2001 International
Conference on Image Processing (Cat. No.01CH37205)
- conference_location: Thessaloniki, Greece
- conference_dates: 7-10 Oct. 2001
- publication_number: 7594
- is_number: 20718
- publication_year: 2001
- publication_date: 7-10 Oct. 2001
- start_page: 1053
- end_page: 1056 vol.2
- citing_paper_count: 2
- citing_patent_count: 2
- download_count: 251
- insert_date: 20020807
-
index_terms:
-
ieee_terms:
- Solid state circuits
- Image sensors
- Spatial resolution
- CMOS image sensors
- Pixel
- Image resolution
- HDTV
- Motion pictures
- CMOS technology
- Capacitance
-
dynamic_index_terms:
- High-resolution
- Image Sensor
- Camera Sensor
- High-resolution Methods
- Image Acquisition Methods
- Acquisition Of High-resolution Images
- High Resolution Image Acquisition
- Spatial Resolution
- Frequency Response
- Super-resolution
- Super-resolution Imaging
- Defocus
- Yield Rate
- Output Rate
- Image Recovery
- Image Pixels
- Fixed Point
- Interpolation Method
- Scene Images
- Spatial Resolution Images
- Recovery Method
- Shot Noise
- Poisson Noise
- Black Spots
- Neighboring Pixels
- Neighborhood Pixels
- Adjoint Operator
- Adjoint Problem
- Hermitian Conjugate
- Pixel Intensity Values
- Imaging Frequency
-
isbn_formats:
-
format: Print ISBN,
value: 0-7803-6725-1,
isbnType: Historical
-
authors:
-
Author Name: T. Komatsu
Affiliation: Department of Electrical Engineering,
Kanagawa University, Yokohama, Japan
Author URL:
https://ieeexplore.ieee.org/author/37290101300
ID: 37290101300
Order: 1
Author Affiliations:
-
Department of Electrical Engineering, Kanagawa University,
Yokohama, Japan
-
Author Name: T. Saito
Affiliation: Department of Electrical Engineering,
Kanagawa University, Yokohama, Japan
Author URL:
https://ieeexplore.ieee.org/author/37289525400
ID: 37289525400
Order: 2
Author Affiliations:
-
Department of Electrical Engineering, Kanagawa University,
Yokohama, Japan
Image Sensor
- sensor_type: CMOS
- resolution: 3K x 4K
- dynamic_range: higher than 46 dB
- pixel_size: estimated at approximately 50 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: 30fps
- signal_to_noise_ratio: higher than 46 dB
Applications & Benefits
- cell_imaging: not specified
-
benefits: Improves yield rate by recovering defect
pixels and enhancing image quality.
Supporting Organizations
- supported_by: not specified
Manuscript Details
- publication_date: 7-10 Oct. 2001
Relevancy Score
Processed JSON Filename
request_e7e257d5-5227-4337-b736-e9e48e28a577-a_highresolution_image_acquisition_method_with_defectpixel_recovery_for_solidstate_image_sensors.json