实时图像增强算法研究

图像增强是图像处理最有吸引力的领域。在嵌入式视频图像处理系统中，图像增强后的效果和图像增强的实时性是决定算法优劣的两个关键问题。而恰当的图像增强算法和高效硬件平台的合理搭建是解决问题的有效途径。在研究多种实时图像增强算法基础上，本文在matlab平台上对三种典型的增强算法进行算法仿真，即直方图均衡增强算法、基于照度-反射模型的同态滤波增强算法、基于小波变换增强算法。并对仿真结果进行分析，比较各算法的优缺点，指出了其最佳的应用场景和最高效的硬件实现平台，以期从中总结出一套行之有效的实时图像增强算法的应用指导规则。

Study of real-time image enhancement algorithm

Image enhancement is the most attractive areas in image-processing. In the embedded video image processing system, there are two key issues, quality of the enhanced image and speed of the image-processing, which decide the efficiency of the algorithm. And, the solution to the issues is the reasonable connection of appropriate image enhancement algorithm and efficient hardware platform. Depending on studying many typical enhancement algorithms，simulate three typical enhancement algorithm on matlab platform. The algorithms are histogram equalization, Homomorphic filtering, wavelet. Finally, analyze the simulation results and compare the advantages and disadvantages of each algorithm, point out their best scenes for application and the most efficient implementation hardware platform. In order to conclude a set of effective application instructing rules.