Abstract:
Enhancement of night-time video using Dark Channel Prior IP accelerator is proposed in this
thesis. Nighttime video processing is difficult due to low brightness, low contrast and high
noise in the video. The above problems may affect the accuracy and may results in failures of
object detection or object classification at night time. Dark Channel Prior (DCP) filter is used
to improve the visibility, brightness, and contrast of the night-time input video. Processing
speed is a challenging task on the real-time application of the DCP algorithm for night time
video enhancement. Hence, the DCP algorithm is implemented on FPGA (ALVEO Board) to
increase the speed of video processing. In order to demonstrate the quality of the proposed
method, a practical environment with a Vitis software tool and Alveo board was also set up to
evaluate the performance of hardware. Such extensive experimental results indicate that the
proposed algorithm and hardware structure are effective, feasible and straightforward to
apply to practice.