A Comprehensive Survey on Implementation of Image Processing Algorithms using FPGA

Image processing is an unceasingly growing area with a range of applications including cryptography, medicine, video surveillance, remote sensing, and many more. Implementing sophisticated algorithms to process the large amount of data using software solutions makes the response slower, and that's where hardware implementation comes into the picture. Field Programmable Gate Arrays (FPGAs) are getting popular due to low latency, connectivity, parallel computing, and flexibility. The unique architecture of the FPGA has made it possible to use the technology for applying in many applications to have better and faster results. This paper is aiming at providing a comprehensive survey on the hardware implementations of image processing algorithms to facilitate the improvement in efficiency using FPGAs. The widely used Xilinx PYNQ is also presented in this paper as they play a major role in reducing the development time.