Review Of Approximate Computing In Image Processing Applications
- doi: 10.1109/AIST55798.2022.10065214
-
title: Review of Approximate Computing in Image
Processing Applications
- publisher: IEEE
- isbn: 978-1-6654-9903-3
- issn:
- rank: 3469
- access_type: LOCKED
- content_type: Conferences
-
abstract: Quality of real time multimedia images mostly
depends on the input, i.e. size of camera sensor, pixel density, quality
of lens, etc. therefore the output sometimes contains unsolvable images
issues and requires image processing. Approximate computing (AC) has
emerged as innovative method for image processing along with the
advantages of lower power and high accuracy. In this paper, a review of
AC application in image processing is done and a bit truncated Pseudo-8T
Static Random Access Memory (BT-PSRAM) is proposed. It is implemented on
32nm CMOS technology node for compressed multimedia applications, and
gives encouraging result with low power and energy consumption. Size of
Pseudo-8T SRAM has been reduced using 2-bit truncation technique.
- article_number: 10065214
-
pdf_url:
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10065214
-
html_url:
https://ieeexplore.ieee.org/document/10065214/
-
abstract_url:
https://ieeexplore.ieee.org/document/10065214/
-
publication_title: 2022 4th International Conference on
Artificial Intelligence and Speech Technology (AIST)
- conference_location: Delhi, India
- conference_dates: 9-10 Dec. 2022
- publication_number: 10064684
- is_number: 10064724
- publication_year: 2022
- publication_date: 9-10 Dec. 2022
- start_page: 1
- end_page: 6
- citing_paper_count: 9
- citing_patent_count: 0
- download_count: 298
- insert_date: 20230317
-
index_terms:
-
ieee_terms:
- Image quality
- Approximate computing
- Memory management
- CMOS technology
- SRAM cells
- Real-time systems
- Topology
-
author_terms:
- Approximate computing
- energy-quality scalable circuits and systems
- image processing
- power consumption
- SRAM
- truncation technique
-
dynamic_index_terms:
- Image Processing
- Approximate Computation
- Image Processing Applications
- Low Power
- Image Quality
- Random Access Memory
- Multimedia Applications
- Static Random Access Memory
- Signal Processing
- Convolutional Neural Network
- Quality Assurance
- Data Mining
- Internet Of Things
- Electromagnetic Interference
- Bit Error Rate
- Memory Storage
- Supply Voltage
- Edge Computing
- Low-quality Images
- Transistor Size
- Enhance Image Quality
- Soft Computing
- Leakage Issues
- Minimal Leakage
-
isbn_formats:
-
format: Print on Demand(PoD) ISBN,
value: 978-1-6654-9903-3,
isbnType: New-2005
-
format: Electronic ISBN,
value: 978-1-6654-9902-6,
isbnType: New-2005
-
authors:
-
Author Name: Surbhi Bharti
Affiliation: Dept. of ECE, Indira Gandhi Delhi
Technical University for Women, Delhi, India
Author URL:
https://ieeexplore.ieee.org/author/37086927354
ID: 37086927354
Order: 1
Author Affiliations:
-
Dept. of ECE, Indira Gandhi Delhi Technical University for
Women, Delhi, India
-
Author Name: Ashwni Kumar
Affiliation: Dept. of ECE, Indira Gandhi Delhi
Technical University for Women, Delhi, India
Author URL:
https://ieeexplore.ieee.org/author/37076107000
ID: 37076107000
Order: 2
Author Affiliations:
-
Dept. of ECE, Indira Gandhi Delhi Technical University for
Women, Delhi, India
-
Author Name: Pankaj Gupta
Affiliation: Dept. of ECE, Indira Gandhi Delhi
Technical University for Women, Delhi, India
Author URL:
https://ieeexplore.ieee.org/author/38547221900
ID: 38547221900
Order: 3
Author Affiliations:
-
Dept. of ECE, Indira Gandhi Delhi Technical University for
Women, Delhi, India
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: Used in smartphones, medical devices, and
automotive systems
-
benefits: Enables digital imaging in various
applications.
Supporting Organizations
- supported_by: Not specified
Manuscript Details
- publication_date: 9-10 Dec. 2022
Relevancy Score
- score: 9
-
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
Processed JSON Filename
request_43d606bb-671a-432d-9e36-799fe802d8d5-review_of_approximate_computing_in_image_processing_applications.json