图像处理之LCD显示屏的显示控制 目的是让大家了解 LCD 屏的显示原理，以及为后期我们的 FPGA 的数 字图像处理打下基础。 本实验通过按键来完成对屏幕颜色输出的控制。

FPGA实现中值滤波并采用modelsim进行仿真 仿真后的查看波形，对算法计算部分进行验证。 用matlab实现中值滤波算法，将FPGA和matlab分别实现的中值滤波进行对比。

取σ= 0.8 计算出高斯模板。用该模板进行卷积，从而实现整幅图像的高斯滤波。 高斯滤波能对含有高斯噪声的图像进行去噪，另外也能在构建高斯金字塔的时候用。 将FPGA实现的结果与Matlab实现的结果进行对比。

FPGA实现均值滤波算法并采用modelsim进行仿真。图片大小可根据需求进行修改。均值滤波算法采用流水线的方式进行计算。本资源用于学习回顾

其余图像处理算法的实现，主要在图像处理模块（rgb_gray）进行修改即可。若要查看rtl图，需要在图像生成模块中，引去initial的部分，否则不可综合。

基于FPGA的图像处理算法研究及硬件设计基于FPGA的图像处理算法研究及硬件设计基于FPGA的图像处理算法研究及硬件设计基于FPGA的图像处理算法研究及硬件设计

搭建一个基本的FPGA图像处理仿真平台。读取bmp图像信息，然后按照摄像头时序输出，最后经过RGB888转YCbCr和二值化算法提取车牌信息，然后输出图像结果。

基于FPGA的嵌入式图像处理系统设计，英文版，非扫描版，内容清晰。 作者简介 Donald G Bailey is Associate Professor in the Institute of Information Sciences and Technology at Massey University, where he leads the Image and Signal Processing Research Group. His research interests include most aspects of image analysis, but in particular the algorithm development process, and training. Bailey has developed a Vision Image Processing System package which has been used in a wide range of image analysis applications. Current and recent projects include: image processing using FPGAs, real time produce grading using machine vision, super-resolution, and sub pixel measurement techniques, camera calibration, and coastal monitoring using automated video analysis. He has been working as an electronics and computer systems engineer in the field of image analysis and machine vision for over 25 years. He began applying FPGA technology to image processing in 2002, and since then has published about 25 papers on issues and applications of FPGAs to image processing. 目录 Preface. Acknowledgements. 1 Image Processing. 1.1 Basic Definitions. 1.2 Image Formation. 1.3 Image Processing Operations. 1.4 Example Application. 1.5 Real-Time Image Processing. 1.6 Embedded Image Processing. 1.7 Serial Processing. 1.8 Parallelism. 1.9 Hardware Image Processing Systems. 2 Field Programmable Gate Arrays. 2.1 Programmable Logic. 2.2 FPGAs and Image Processing. 2.3 Inside an FPGA. 2.4 FPGA Families and Features. 2.5 Choosing an FPGA or Development Board. 3 Languages. 3.1 Hardware Description Languages. 3.2 Software-Based Languages. 3.3 Visual Languages. 3.4 Summary. 4 Design Process. 4.1 Problem Specification. 4.2 Algorithm Development. 4.3 Architecture Selection. 4.4 System Implementation. 4.5 Designing for Tuning and Debugging. 5 Mapping Techniques. 5.1 Timing Constraints. 5.2 Memory Bandwidth Constraints. 5.3 Resource Constraints. 5.4 Computational Techniques. 5.5 Summary. 6 Point Operations. 6.1 Point Operations on a Single Image. 6.2 Point Operations on Multiple Images. 6.3 Colour Image Processing. 6.4 Summary. 7 Histogram Operations. 7.1 Greyscale Histogram. 7.2 Multidimensional Histograms. 8 Local Filters. 8.1 Caching. 8.2 Linear Filters. 8.3 Nonlinear Filters. 8.4 Rank Filters. 8.5 Colour Filters. 8.6 Morphological Filters. 8.7 Adaptive Thresholding. 8.8 Summary. 9 Geometric Transformations. 9.1 Forward Mapping. 9.2 Reverse Mapping. 9.3 Interpolation. 9.4 Mapping Optimisations. 9.5 Image Registration. 10 Linear Transforms. 10.1 Fourier Transform. 10.2 Discrete Cosine Transform. 10.3 Wavelet Transform. 10.4 Image and Video Coding. 11 Blob Detection and Labelling. 11.1 Bounding Box. 11.2 Run-Length Coding. 11.3 Chain Coding. 11.4 Connected Component Labelling. 11.5 Distance Transform. 11.6 Watershed Transform. 11.7 Hough Transform. 11.8 Summary. 12 Interfacing. 12.1 Camera Input. 12.2 Display Output. 12.3 Serial Communication. 12.4 Memory. 12.5 Summary. 13 Testing, Tuning and Debugging. 13.1 Design. 13.2 Implementation. 13.3 Tuning. 13.4 Timing Closure. 14 Example Applications. 14.1 Coloured Region Tracking. 14.2 Lens Distortion Correction. 14.3 Foveal Sensor. 14.4 Range Imaging. 14.5 Real-Time Produce Grading. 14.6 Summary. References. Index.

黑金ALINX822视频图像处理板核心板原理图 专业级FPGA视频图像处理开发平台 这款FPGA视频图像处理开发平台是根据本公司一个视频图像处理项目进行改进衍生而来，不管硬件设计还是软件程序的编写，都出自产品研发工程师之手，因此，这款开发平台可以堪称“专业级”，贴近产品，贴近研发的第一线。这样的一款产品非常适合即将从事或者正在从事FPGA视频图像处理的学生、工程师等群体。

FPGA 图像处理 verilog 基于FPGA的数字图像处理原理及应用程序源代码