Artificial Intelligence in Image Reconstruction
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Artificial Intelligence".
Deadline for manuscript submissions: closed (1 May 2022) | Viewed by 5518
Special Issue Editors
Interests: robot navigation; image analysis; 3D shape reconstruction; deep learning
Interests: signal and image processing; machine learning; deep learning
Interests: artificial intelligence; broadcast communications; video streaming; video/image compression
Special Issue Information
Dear Colleagues,
Artificial Intelligence (AI) in Image Processing for the reconstruction of images is a highly promising area of research. The reconstruction of an image from the acquired data is an inverse problem which is often not possible solve directly. In this case, a direct algorithm has to approximate the solution, which might cause visible reconstruction artifacts in the image. Iterative algorithms approach the correct solution using multiple iteration steps, which allows to obtain a better reconstruction at the cost of a higher computation time. The convergence of AI in this field can overcome certain challenges and can also increase the accuracy of the algorithms. There are a large variety of algorithms, but each starts with an assumed image, computes projections from the image, compares the original projection data and updates the image based upon the difference between the calculated and the actual projections. Image reconstruction can be applied in many situations, including but not limited to, 3D shape reconstruction, texture analysis, medical imaging, and robotics. The emergence of robotics with vision has introduced new challenges and finds new applications in robot navigation.
There is a current need to design efficient algorithms, models and methodologies of AI to analyze the images generated from various applications, such as industry, healthcare, medical and the robot navigation.
The topics of interest in this Special Issue include, but are not limited to:
- X-ray CT image reconstruction
- MRI image reconstruction
- Medical diagnosis support systems
- Texture Analysis
- 3D Depth/Shape Recovery
- Robot Navigation Systems
- Autonomous Vehicle Navigation Systems
- Biometric and Security systems
Dr. Mannan Muhammad
Dr. Hoon-Seok Jang
Dr. Waqas ur Rahman
Prof. Dr. Hyunjin Park
Guest Editors
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Keywords
- artificial intelligence
- machine learning
- deep learning
- robotics
- 3D sensaing
- autonomous vehicles
- image analysis
- medical diagnostics
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