Improvement and implementation of video image de-hazing algorithm based on FPGA

Aiming at the problems of color distortion and halos existing in video images in the process of transplanting dark channel prior algorithm of de-hazing into FPGA and considering the algorithm implementation in FPGA and the real-time requirement of video processing, an improvement algorithm base on FPGA is proposed in this paper. By refining the dark channel to obtain the final transmittance for eliminating the halos and by effectively segmenting the bright regions like the sky regions, the color distortion can be eliminated through the non-linear compensation for the regional transmittance. Through the verification of MATLAB simulation and the experiment of FPGA hardware, the system can effectively solve above problems. The experimental results show that on the premise of ensuring the output video quality, the system can better de-haze and eliminate halos in video images.