基于图像增强的去雾快速算法的FPGA实现

FPGA Implementation Of The Rapid Dehaze Algerithm Based on Image Enhancement

基于图像增强方法,本文提出了一种使用亮度映射的图像去雾快速算法。此算法通过调整室外多雾场景图像的对比度,提高了雾中物体的辨识度。算法的复杂度低、处理延迟小,实时性高,利于FPGA的实现。实现时不需外存储器,延时为ns级,并提供了强度调节接口,以适应较广的应用环境。

Based on the image enhancement method, a luminance-mapping haze removal algorithm is proposed in this paper. This algorithm improves the recognition of the items in haze by enhancing the contrast of the outdoor hazy scene. This algorithm with the properties of low complexity and latency is suitable for FPGA implementing. Based on this algorithm, the implemented logic circuit is no need for external memories and the latency is only a few ns, and it also has an intensity regulating interface to adapt vary environment.