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所在平台: Udemy |
课程主页: https://www.udemy.com/course/fpga-image-processing/
课程评论：没有评论
Coursera 课程《FPGA 图像处理》摘要： 本课程专注于使用 FPGA 实现 Sobel 边缘检测算法，这是一种广泛用于识别和突出图像中对象边界的图像处理技术。Sobel 算法的特点是需要快速计算并同时执行大量操作，而 FPGA 凭借其并行处理能力，是实现这一算法的理想平台。 课程将从 Sobel 算法的原理、算法本身以及如何在 FPGA 中实现系统等方面进行讲解。此外，课程还将涵盖图像处理中的关键技术，包括： * RGB 图像与灰度图像之间的转换（编码与仿真） * 在 FPGA 图像处理仿真中读写 BMP 文件的技巧 * 单线和双线 FIFO 缓冲器的编码与仿真 * 流水线处理的原理、编码与仿真技巧 * Verilog 语言在实时图像处理中的编码技巧 需要注意的是，尽管课程中提到了 HDMI 和摄像头接口，但这些接口 **并未在课程中实现**。本课程旨在为学习者提供 FPGA 实时图像处理的基础知识和技能，为他们在 Verilog 中进行 FPGA 图像实时处理打下坚实的基础。
The SOBEL image processing is a very popular algorithm for edge detection used to identify and highlight the object boundaries within an image. It has been implemented in all kinds of programming languages. Basically, it performs a 2D spatial gradient operation on one image. It primarily provides the areas of high spatial frequency corresponding to edges.The SOBEL algorithm requires the calculation as fast as possible, and run lots of operation at the same time. FPGA can process many data at the same time, which is one of the best way to implement the SOBEL algorithm. However, the software program needs high skill and special knowledge. Here we demo the basic knowledge and skill, hope it can be the base for the FPGA image real time processing.This course only focuses on sobel image processing coding and simulation for FPGA. Note: Though the hdmi and camera interface have been mentioned, they are NOT implemented in the course. It demos the basic knowledge and skill about FPGA real time image processing in verilog, including:(1) Sobel principle, algorithm and system implement in FPGA;(2) RGB to Grayscale, Grayscale to RGB coding and simulation;(3) Read, write BMP file skill in FPGA image processing simulation;(4) Single, double line FIFO Buffer coding and simulation;(5) Pipeline Principle, coding and simulation skill;(6) Verilog real time processing coding skill;
