Image Processing Using FPGAs
Bailey, Donald
Image Processing Using FPGAs - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (204 p.)
Open Access
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.
Creative Commons
English
books978-3-03897-919-7 9783038979197 9783038979180
10.3390/books978-3-03897-919-7 doi
nuclei detection System-on-Chip FPGA K-Means hardware acceleration image analysis perceptual coding line buffer heterogeneous computing window filters processor architectures hardware accelerators stream processing embedded systems image processing pipeline image processing generalized Laplacian of Gaussian filter background estimation real-time systems FPGA implementation hardware architecture compression image borders memory zig-zag scan histopathology just-noticeable difference (JND) memory management downsampling image segmentation feature extraction design mean Shift clustering high-throughput segmentation streaming architecture power D-SWIM hardware/software co-design high-level synthesis contrast masking texture detection pipeline field programmable gate array (FPGA) JPEG-LS low-latency connected components analysis luminance masking field programmable gate arrays (FPGA)
Image Processing Using FPGAs - MDPI - Multidisciplinary Digital Publishing Institute 2019 - 1 electronic resource (204 p.)
Open Access
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.
Creative Commons
English
books978-3-03897-919-7 9783038979197 9783038979180
10.3390/books978-3-03897-919-7 doi
nuclei detection System-on-Chip FPGA K-Means hardware acceleration image analysis perceptual coding line buffer heterogeneous computing window filters processor architectures hardware accelerators stream processing embedded systems image processing pipeline image processing generalized Laplacian of Gaussian filter background estimation real-time systems FPGA implementation hardware architecture compression image borders memory zig-zag scan histopathology just-noticeable difference (JND) memory management downsampling image segmentation feature extraction design mean Shift clustering high-throughput segmentation streaming architecture power D-SWIM hardware/software co-design high-level synthesis contrast masking texture detection pipeline field programmable gate array (FPGA) JPEG-LS low-latency connected components analysis luminance masking field programmable gate arrays (FPGA)