Date of Graduation
Bachelor of Science in Electrical Engineering
Yu, Shui-Qing (Fisher)
Infrared technology advancements have led to an expansive set of infrared applications in both the private and public sectors. New materials and manufacturing techniques have continued to reduce the cost while improving the quality of infrared cameras, but the cost is still high when compared to the cost versus quality of visible light spectrum cameras. Innovative image processing techniques can be implemented to help bridge this gap between the cost and quality of infrared cameras. The goal of this research is to improve the overall quality of infrared imaging by fusing short-mid wavelength infrared images and long wavelength images of the same background and objects. To achieve this goal, infrared camera theory as well as image fusion theory will be first introduced to provide adequate background knowledge. Then, the setup of the experiment and calibration of the two infrared cameras will be described in details. Next, the image registration and fusion procedures will be presented by Matlab software. The results of this research show that the fused images have higher quality than individual short-mid wavelength infrared images and/or long wavelength images.
Hedrick, R. (2015). Fusion of short-mid wavelength infrared image and long wavelength image using discrete wavelet transform for image quality enhancement. Electrical Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/eleguht/34