Quality Enhancement for Drone Based Video using FPGA

Abstract

Nowadays Drones are being widely used for surveillance and various other activities. The video stream produced by the drone can be disturbing or can contain noise data which might reduce the quality of the video stream. The video stream can be enhanced so that there is no disturbance in the video stream. The video enhancement can be done in real-time with the help of field programmable gate array (FPGA) which reduces the processing time with low energy consumption. Our project mainly focuses on enhancing the quality of the video stream using enhanced super-resolution generative adversarial networks (ESRGAN), contrast-limited Adaptive histogram equalization (CLAHE), Gamma Correction and Saturation Adjustment by integrating the image source in the drone with the FPGA.