Image Processing with Embedded Systems and FPGAs: AI Methods and IoT Applications
A special issue of Journal of Imaging (ISSN 2313-433X).
Deadline for manuscript submissions: 31 January 2025 | Viewed by 925
Special Issue Editors
Interests: FPGAs; approximate computing; digital design optimization; DSP; fault-tolerant systems; artificial intelligence
Special Issues, Collections and Topics in MDPI journals
Interests: embedded systems architectures; dedicated and reconfigurable computation (FPGAs); design and optimization of models and algorithms applied to electronic design automation (EDA) problems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital reconfigurable computing architectures for the formation, capture, processing, communication, analysis, and display of images, video, and multidimensional signals often target systems with constraints, which cannot be implemented in recent CPUs and GPUs. Thus, it is necessary to create a custom architecture capable of delivering a system that meets resources, power, and performance requirements. FPGAs are the most suitable technology since they offer reconfigurability and bit-level system specification capabilities.
Topics of interest for this Special Issue include novel design and optimization methods of image processing systems based on FPGAs or SOC-FPGAs. Applications of interest include implementation of novel image and video systems with focus on prototyped and open-source implementations.
Dr. Rui Policarpo Duarte
Dr. Paulo Flores
Guest Editors
Manuscript Submission Information
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Keywords
- image processing
- FPGA
- SOC-FPGA
- digital system optimization
- approximate computing
- partial reconfiguration
- biomedical imaging
- remote sensing
- computer vision
- artificial intelligence
- simultaneous localization and mapping (slam)
- autonomous driving
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