
The study conducted in the current paper consists of validating an original design flow for the rapid prototyping of real-time image and video processing applications on FPGAs. A video application for edge detection with Simulink HDL coder and Vivado High-Level Synthesis (HLS) has been designed as if the code was going to be executed on a conventional processor. The developed tools will automatically translate the code into VHDL hardware language using an advanced compilation technique. This amounts to embedding processors on Xilinx Zynq-7000 System on-Chip (SoC) device in an optimal manner. This automated hardware design flow reduces the time to create a prototype since only the high-level description is required. The design of the video edge detection system is implemented on Xilinx Zynq-7000 platform. The result of the implementation gave effective resource utilization and a good frame rate (95 FPS) under 170MHz frequency.
Stereo Vision and Depth Estimation, Autofocusing in Microscopy and Photography, Artificial intelligence, High-Speed Imaging, Engineering, Hardware acceleration, CMOS Image Sensor Technology, Design flow, FOS: Electrical engineering, electronic engineering, information engineering, Media Technology, Electrical and Electronic Engineering, Embedded system, System on a chip, Frame rate, Computer hardware, Computer science, Field-programmable gate array, Enhanced Data Rates for GSM Evolution, Video processing, Computer Science, Physical Sciences, Telecommunications, VHDL, Computer Vision and Pattern Recognition, Frame (networking)
Stereo Vision and Depth Estimation, Autofocusing in Microscopy and Photography, Artificial intelligence, High-Speed Imaging, Engineering, Hardware acceleration, CMOS Image Sensor Technology, Design flow, FOS: Electrical engineering, electronic engineering, information engineering, Media Technology, Electrical and Electronic Engineering, Embedded system, System on a chip, Frame rate, Computer hardware, Computer science, Field-programmable gate array, Enhanced Data Rates for GSM Evolution, Video processing, Computer Science, Physical Sciences, Telecommunications, VHDL, Computer Vision and Pattern Recognition, Frame (networking)
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 6 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
