CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12799 > Article
Paper
10 October 2023 Digital signal processing techniques for image enhancement and restoration
Chenyao Qu, Yanhao Tangge, Guang Yang
Author Affiliations +
Proceedings Volume 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023); 127992R (2023) https://doi.org/10.1117/12.3005862
Event: 3rd International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 2023, Kuala Lumpur, Malaysia
Abstract
The image processing technology is widely used in digital signal processing, biomedical engineering, and industrial automation control. In image processing, image enhancement and restoration techniques are used in many imaging applications, such as astrophotography, medical imaging camera, film production, and infrared imaging. At the same time, image enhancement and restoration technology based on both deep learning and neural network is a major research hotspot in the area of image processing. This paper reviews the related research of image enhancement and restoration technology. In terms of image enhancement, the working principle of its technology based on spatial domain and frequency domain and contrast enhancement technology, including color image contrast enhancement, are introduced. In image restoration, median filtering technology and the Lucy-Richardson (LR) algorithm are introduced, including the adaptive median filtering algorithm and the improved LR algorithm based on the Gaussian low-pass filter. Finally, the merits and demerits of these technologies are discussed, and the development prospect of image enhancement and restoration technology has prospected.
(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Chenyao Qu, Yanhao Tangge, and Guang Yang "Digital signal processing techniques for image enhancement and restoration", Proc. SPIE 12799, Third International Conference on Advanced Algorithms and Signal Image Processing (AASIP 2023), 127992R (10 October 2023); https://doi.org/10.1117/12.3005862
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image enhancement
Tunable filters
Digital filtering
Image filtering
Image processing
Image restoration
Signal filtering
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top