Adaptive Denoising Filter Algorithm For Cmos Image Sensor Testing
Applications
- doi: 10.1109/DFT.2010.23
-
title: Adaptive De-noising Filter Algorithm for CMOS
Image Sensor Testing Applications
- publisher: IEEE
- isbn: 978-1-4244-8447-8
- issn: 2377-7966
- partnum: 10PR4243
- rank: 1386
- access_type: LOCKED
- content_type: Conferences
-
abstract: This paper proposes an adaptive de-nosing
filter (ADF) algorithm to effectively remove the image defects for the
CMOS image sensor testing applications. Based on the median filter
technique, the proposed ADF algorithm develops a pre-processing method
to generate adaptive detection windows for pixel defect de-noising of an
image. Experimental results and comparisons show that the proposed ADF
algorithm can provide a significant ability of defects de-noising for
supporting good performance in peak signal-to-noise ratio (PSNR) and
image quality.
- article_number: 5634879
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5634879
-
html_url:
https://ieeexplore.ieee.org/document/5634879/
-
abstract_url:
https://ieeexplore.ieee.org/document/5634879/
-
publication_title: 2010 IEEE 25th International
Symposium on Defect and Fault Tolerance in VLSI Systems
- conference_location: Kyoto, Japan
- conference_dates: 6-8 Oct. 2010
- publication_number: 5629473
- is_number: 5634869
- publication_year: 2010
- publication_date: 6-8 Oct. 2010
- start_page: 136
- end_page: 143
- citing_paper_count: 3
- citing_patent_count: 0
- download_count: 266
- insert_date: 20101111
-
index_terms:
-
ieee_terms:
- Pixel
- Noise
- Noise reduction
- CMOS image sensors
- Image quality
- Filtering algorithms
- Algorithm design and analysis
-
author_terms:
- CMOS image sensor
- adaptive de-nosing filter algorithm
- PSNR
- image quality
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Filtering Algorithm
- Adaptive Filtering Algorithm
- Image Quality
- Peak Signal-to-noise Ratio
- PSNR
- Median Filter
- CCD Camera
- Charge-coupled Device
- Local Maxima
- Quality Performance
- Image Noise
- Sensor Array
- Filtering Approach
- Consumer Electronics
- Noise Density
- Impulsive Noise
- Salt And Pepper Noise
-
isbn_formats:
-
format: Print ISBN,
value: 978-1-4244-8447-8,
isbnType: New-2005
-
authors:
-
Author Name: Chun-Lung Hsu
Affiliation: Department of Electrical Engineering,
National Dong Hwa University, Shoufeng, Hualien, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37290471700
ID: 37290471700
Order: 1
Author Affiliations:
-
Department of Electrical Engineering, National Dong Hwa
University, Shoufeng, Hualien, Taiwan
-
Author Name: Chen-Wei Lan
Affiliation: Department of Electrical Engineering,
National Dong Hwa University, Shoufeng, Hualien, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37588827800
ID: 37588827800
Order: 2
Author Affiliations:
-
Department of Electrical Engineering, National Dong Hwa
University, Shoufeng, Hualien, Taiwan
-
Author Name: Yu-Chih Lo
Affiliation: Department of Electrical Engineering,
National Dong Hwa University, Shoufeng, Hualien, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37589110500
ID: 37589110500
Order: 3
Author Affiliations:
-
Department of Electrical Engineering, National Dong Hwa
University, Shoufeng, Hualien, Taiwan
-
Author Name: Yu-Sheng Huang
Affiliation: Department of Electrical Engineering,
National Dong Hwa University, Shoufeng, Hualien, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37291625700
ID: 37291625700
Order: 4
Author Affiliations:
-
Department of Electrical Engineering, National Dong Hwa
University, Shoufeng, Hualien, Taiwan
Image Sensor
- sensor_type: CMOS
- resolution: 512x512
- dynamic_range: 0-255
- pixel_size: 8-bit
- 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: Improves image quality by removing
salt-and-pepper defects.
Supporting Organizations
- supported_by: National Dong Hwa University
Manuscript Details
- publication_date: 6-8 Oct. 2010
Relevancy Score
- score: 10
-
missing_fields:
- 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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