Infrared Image Processing And Implementation On The Tms320c6416

Infrared imaging technology is through detecting infrared radiation of the target to capture the target infrared image, achieving real-time observations of the target object technology. Especially, at night and poor visibility, infrared imaging technology appears to be more important, therefore real-time infrared imaging technology is also increasingly in application of various fields of national economy, especially in the military field. However, due to the restrictions of detector production materials and manufacturing process and other conditions, making the infrared image have shortcomings of non-uniformity problems, poor contrast and vague visual effects, as a result, the quality of infrared image imaging has been seriously affected. At present, it has become an urgent task and a hot spot of research to choose a suitable infrared image processing algorithms and real-time realization on hardware so as to obtain high quality of infrared image.Because of its powerful processing ability, DSP has a wide range of applications in aspects of communication and image processing. In order to choose an appropriate infrared image algorithm to enhance the quality of infrared image, this paper first makes a performance evaluation on the non-uniformity correction and image enhancement algorithm of infrared image; employing the TMS320C6416 DSP as the core processor and achieving a better algorithm on SEED-DEC6416 development board.This paper firstly introduces the infrared image, analyzes the causes of low quality infrared image and its improvement methods; Secondly, introduces the principle of non-uniformity correction algorithm and image enhancement algorithm, and then, analysis their advantages and disadvantages; Thirdly, according to the experiment results, evaluates the performances of each algorithm in infrared image processing, as a result, histogram equalization algorithm is better, because of its simple algorithm and can achieve real-time in DSP:Then the author introduces the powerful function of TMS320C6416 and software development platform of CCS, putting the histogram equalization algorithm real-time in TMS320C6416. Finally, the results of implementation in DSP and simulation are in consistent.