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This book presents a selection of papers representing current research on using field programmable gate arrays (FPGAs) for realising image processing algorithms. These papers are reprints of papers selected for a Special Issue of the Journal of Imaging on image processing using FPGAs. A diverse range of topics is covered, including parallel soft processors, memory management, image filters, segmentation, clustering, image analysis, and image compression. Applications include traffic sign recognition for autonomous driving, cell detection for histopathology, and video compression. Collectively, they represent the current state-of-the-art on image processing using FPGAs.
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Keywords
- background estimation
- compression
- connected components analysis
- contrast masking
- D-SWIM
- Design
- downsampling
- embedded systems
- feature extraction
- Field Programmable Gate Array (FPGA)
- field programmable gate arrays (FPGA)
- FPGA
- FPGA implementation
- generalized Laplacian of Gaussian filter
- hardware acceleration
- hardware accelerators
- hardware architecture
- hardware/software co-design
- Heterogeneous computing
- high-level synthesis
- high-throughput
- histopathology
- Image analysis
- image borders
- Image processing
- image processing pipeline
- image segmentation
- JPEG-LS
- just-noticeable difference (JND)
- K-Means
- line buffer
- low-latency
- luminance masking
- mean Shift clustering
- Memory
- memory management
- nuclei detection
- perceptual coding
- pipeline
- Power
- processor architectures
- Real-Time Systems
- segmentation
- stream processing
- streaming architecture
- System-on-Chip
- texture detection
- window filters
- zig-zag scan
Links
DOI: 10.3390/books978-3-03897-919-7Editions
