彩色图像中包含了丰富的颜色信息, 能够直观地感知世界, 它使我们的工作生活更加便利。但是, 由于一些恶劣环境的影响, 彩色图像的成像会出现模糊、目标被淹没、对比度偏低等问题。针对此问题, 本文设计了一款基于FPGA的嵌入式实时图像增强处理系统。并提出一种灰度值拉伸变换方法, 将该方法直接对RGB色彩空间的R、G、B三分量进行增强处理, 既增大了灰度值的变化范围提高人眼视觉效果, 也避免了色彩空间转换带来的计算量及节省了处理时间满足了工程的实时性要求。目前该系统已在实际工程项目中应用, 工程结果表明该系统工作稳定有效, 能够有效解决工程中出现的光线条件差, 低对比度情况下的彩色图像增强问题。

Color image contains rich detail information, and can apperceive the world intuitively. It makes our work and life more convenient. However, due to the impact of bad environment, it will cause to obtain a degraded image, such as the captured image is usually be blurred, the target is submerged. The existing color image enhancement methods are mainly post-processing approaches.It is difficult to achieve the real-time requirement for identification and tracking in practical engineering applications. To solve this problem, an embedded real-time image enhancement processing system is designed based on FPGA.The system carries on the gray value stretch transformation to each color component of RGB color space and outputs real-time enhancement image.It not only increases the range of gray value to improve the visual effect of the human eyes, but also saves processing time to meet the real-time requirements of the project. It has been put into application in the actual project. The engineering results show that the system works stably, and can effectively solve the low contrast and insufficient light problem.