| Abstract [eng] |
In the first chapter theory of various image and video processing algorithms are reviewed. These algorithms include edge detection, FIR filtering, and image mixing. Second chapter goes by reviewing other science papers about image processing using FPGA devices. There are reviewed different methods and different systems and result analysis. These systems include: objects recognition in video stream, various image enhancement algorithms, image processing using Verilog programing language. Third chapter is dedicated for tools, used to do my own research. Tools were both: software and hardware. Software tools are: Quartus II, Altera-modelsim, hardware tools: DE0-nano development board, D5M 5MP digital video camera. In fourth chapter were reviewed video processing algorithms, which were created for research. These algorithms include: Canny and sobel edge detection, FIR filtering, two video streams mixing. Fifth chapter is dedicated to results. The main goal of my research was to examine resources, used by FPGA device implementing image processing systems. In this research there were found out FPGA device logic elements usage, power consumption, system stability, effectiveness, and execution time. |
