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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.

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)