FPGA-Based Implementation of Basic Image Processing Applications as Low-Cost IP Core

With technology, rapidly developing image sensors have begun to be used in many areas, from smart phones to unmanned vehicles. In particular, systems that have to process many images at the same time, such as unmanned vehicles, require a high amount of processing power and use expensive equipment. In this work, we describe FPGA based implementation of basic image processing applications that can work on low cost FPGA families for use in applications with high processing power. With the IP core, users can easily perform mirroring, inversion, negation, thresholding, brightness and contrast enhancement / reduction on the image. The IP core platform is designed to be independently. Synthesis results are given with reference to Xilinx's Spartan 7 FPGA. The results show that the developed IP core has a low hardware cost.