Cmos Image Sensor With Nano Light Pillars For Optical Performance
Enhancement
- doi: 10.1109/IEDM45741.2023.10413692
-
title: CMOS image sensor with nano light pillars for
optical performance enhancement
- publisher: IEEE
- isbn: 979-8-3503-2768-7
- issn: 0163-1918
- rank: 1837
- access_type: LOCKED
- content_type: Conferences
-
abstract: We have demonstrated a CMOS image sensor
(CIS) with nano-light pillars (NLPs), which is metasurface-like
structures, on a 0.8 μm-pixel sensor to enhance quantum efficiency. By
employing a unique arrangement of NLPs, the light energy can be
selectively directed to specific color pixels based on the design
wavelength. The NLPs improve the quantum efficiency (QE) by 40% and 16%
for blue and green, respectively, compared to micro-lens (ML) type of
sensors. The luminance signal-to-noise ratio (SNR) improves by +1.16 dB
under low-light conditions (20 lux) without compromising color fidelity.
- article_number: 10413692
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10413692
-
html_url:
https://ieeexplore.ieee.org/document/10413692/
-
abstract_url:
https://ieeexplore.ieee.org/document/10413692/
-
publication_title: 2023 International Electron Devices
Meeting (IEDM)
- conference_location: San Francisco, CA, USA
- conference_dates: 9-13 Dec. 2023
- publication_number: 10413659
- is_number: 10413660
- publication_year: 2023
- publication_date: 9-13 Dec. 2023
- start_page: 1
- end_page: 4
- citing_paper_count: 0
- citing_patent_count: 0
- download_count: 617
- insert_date: 20240207
-
index_terms:
-
ieee_terms:
- Image resolution
- Image color analysis
- Image edge detection
- Green products
- Transfer functions
- CMOS image sensors
- Signal to noise ratio
-
dynamic_index_terms:
- Image Sensor
- Camera Sensor
- Quantum Efficiency
- Low Light Conditions
- Refractive Index
- Refractive Indices
- Phase Velocity
- Phase Speed
- Propagation Velocity
- Propagation Speed
- Separate Layers
- High Refractive Index
- Sensitivity Enhancement
- Local Phase
- Modulation Transfer Function
- Optical Transfer Function
- Low Refractive Index
- Color Filter
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 979-8-3503-2768-7,
isbnType: New-2005
-
format: Electronic ISBN,
value: 979-8-3503-2767-0,
isbnType: New-2005
-
authors:
-
Author Name: Chun-Yuan Wang
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/882945492817354
ID: 882945492817354
Order: 1
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Guang-Yu Huang
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37087608456
ID: 37087608456
Order: 2
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Chung-Hsuan Yu
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/931643049340832
ID: 931643049340832
Order: 3
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Hao-Wei Liu
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/171257405522552
ID: 171257405522552
Order: 4
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Yu-Shen Lu
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/623970069434234
ID: 623970069434234
Order: 5
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Wei-Lung Tsai
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37086632752
ID: 37086632752
Order: 6
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: An-Li Kuo
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/592814755480643
ID: 592814755480643
Order: 7
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Shin-Hong Kuo
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/37085488693
ID: 37085488693
Order: 8
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Han-Son Chen
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/778264466223271
ID: 778264466223271
Order: 9
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Huang-Jen Chen
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/658145638879705
ID: 658145638879705
Order: 10
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Po-Hsiang Wang
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/939317216054141
ID: 939317216054141
Order: 11
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Ching-Chiang Wu
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/782576617007662
ID: 782576617007662
Order: 12
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Ken Wu
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/337798622574089
ID: 337798622574089
Order: 13
Author Affiliations:
- VisEra Technologies Company, Taiwan
-
Author Name: Hung-Jen Tsai
Affiliation: VisEra Technologies Company, Taiwan
Author URL:
https://ieeexplore.ieee.org/author/988500168577861
ID: 988500168577861
Order: 14
Author Affiliations:
- VisEra Technologies Company, Taiwan
Image Sensor
- sensor_type: CMOS
- resolution: not specified
- 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: as used in medical devices for imaging
cells
-
benefits: enables digital imaging in smartphones,
medical devices, and automotive systems due to its efficiency and
performance
Supporting Organizations
- supported_by: not specified
Manuscript Details
- publication_date: 9-13 Dec. 2023
Relevancy Score
- score: 8
-
missing_fields:
- resolution
- dynamic_range
- pixel_size
- dark_current
- focal_length
- aperture
- field_of_view
- distortion
- frame_rate
- signal_to_noise_ratio
- sensitivity
- shutter_speed
- power_consumption
- noise
- supported_by
- publication_date
- authors
Processed JSON Filename
request_4856c10f-fdd5-4f89-ac96-1d267a0ff74f-cmos_image_sensor_with_nano_light_pillars_for_optical_performance_enhancement.json