Advances of Intelligent Imaging Technology
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Computing and Artificial Intelligence".
Deadline for manuscript submissions: closed (20 September 2023) | Viewed by 2358
Special Issue Editors
Interests: bioelectromagnetic; cell biophysics; computational physics; THz spectroscopy; deep learning or machine learning applications
Interests: ultrasound imaging; artificial intelligence; image processing; signal processing; system design
Special Issue Information
Dear Colleagues,
AI has revolutionarily boosted the domain of intelligent imaging. Each day, the scientific milieu is facing new AI applications converting image to insight. Artificial neural networks are playing a key role in this new era where the power of AI has been unleashed along with drastic progress in image sensing and acquisition. All AI subdomains of deep learning, machine learning and reinforcement learning, along with traditional computer vision, provide unique architectures to build applications for intelligent imaging.
The main objective of this Special Issue is to highlight innovations in AI architectures and applications for the domains of image acquisition, enhancement, analytics and interpretation.
Topics include, but are not limited to:
- Image-based decision making in autonomous systems and self-driving cars;
- Obstacle-avoidance systems and robot vision;
- Image recognition;
- Image content labelling and meta-tags;
- Image content search;
- Remote sensing, satellite imaging, data fusion and hyper-spectral analysis;
- AI-assisted microscopy imaging and microscopy image analysis.
Dr. Alireza Lajevardipour
Dr. Sajjad Afrakhteh
Guest Editors
Manuscript Submission Information
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Keywords
- artificial intelligence
- machine learning
- deep learning
- reinforcement learning
- computer vision
- image processing
- image restoration
- image enhancement
- image super-resolution
- image labelling
- image classification
- medical imaging
- microscopy imaging
- computational imaging
- multimodal imaging
- satellite hyper-spectral imaging
- thermal imaging
- surveillance imaging
- camera network
- visual inspection
- railway inspection