| With the development of infrared detector technology and technological progress,the resolution and clarity of infrared images have been improved significantly.Hardware promotion will certainly drive software improvement.The original algorithm is subject to hardware processing speed and computing resources.Today’s microelectronics technology has enough support for more complex algorithms.Therefore,the purpose of this paper is to study an infrared image enhancement algorithm and to transplant it into the field of field bus.Achieve the ability to highlight low contrast targets in high dynamic infrared images.In this paper,the infrared image enhancement algorithms at home and abroad are studied,and the algorithms with higher real-time performance and easier hardware implementation are simulated.The stretched gray scale for histogram equalization,image layering for nonsharpening mask and edge preservation and noise reduction for guided filter are studied.On this basis,in order to improve the processing speed of the infrared image detail enhancement algorithm,an improved algorithm of high dynamic infrared image enhancement algorithm based on image hierarchy is presented.By simulating the improved algorithm and comparing it with the common image processing algorithms,the subjective evaluation and the objective evaluation are used respectively,which show that the algorithm enhances significantly.Secondly,the improved algorithm is run in the FPGA as the core chip of image processing board.Guided filter is used to layer the collected infrared image.Histogram equalization and linear compression are used to process the separated basic and detail layers respectively.Then,the two parts are weighted and fused,and the image is transferred to the display.Finally,using the lens control panel to zoom and focus the system,the detailed texture of the observation target can be clearly displayed,and the algorithm has good real-time performance.The output video is continuous and clear,which meets the technical requirements. |