一种基于嵌入式多核处理器的实时图像去雾方法

A Real-Time Haze Removal Method Based on Embedded Multi-Core Processors

图像去雾是图像增强中的一种典型应用,广泛应用于智能交通、图像前期预处理等不同领域,但其实时处理效果一直不佳。提出了一种基于嵌入式多核处理器的实时图像去雾方法,该方法以大气散射为基础,基于He等人提出的Dark Channel Prior方法,优化提出了一种新的修正算法,采用并行处理的方式降低运算量。实验表明,该算法在一个多核ARM处理器平台上能够达到实时图像去雾效果,缩短运算时间,提高图像质量。

Haze removal is a typical application of image enhancement,which is widely used in different fields,such as transportation,image processing and so on,but its results were poor.Concerning this issue,a new real time haze removal method was presented based on embedded multi-core processors.On the basis of the atmosphere scattering model and Dark Channel Prior of He,a new modified algorithm was put forward by using parallel processing way to reduce computational complexity.The experiments show that the algorithm can effectively achieve real-time haze removal on a multi-core ARM processor,which can greatly reduce the computing time and improve the quality of image.