KEYWORDS: 3D image processing, Integral imaging, 3D image reconstruction, Microlens array, Image processing, 3D displays, Image resolution, Imaging systems, Image quality, Computing systems
Integral imaging technology would be one of the most promising technology for the battlefield visualization in future war. The reconstruction of integral imaging can be classified into optical reconstruction and computational reconstruction. Computational reconstruction is accomplished by computer simulation of the optical integral imaging reconstruction process, which can overcome many problems caused by device limitation in optical integral imaging system and improve the image quality through digital processing technology. The reconstructed image is digital format, which can provide data support for 3D depth extraction, 3D target recognition, 3D image processing and so on. Based on the principle of integral imaging, this paper focuses on the principle and development history of computational reconstruction, and compares the performance of two computational reconstruction methods.
The information warfare needs a highly transparent environment of battlefield, it follows that true three-dimensional display technology has obvious advantages than traditional display technology in the current field of military science and technology. It also focuses on the research progress of lens array imaging technology and aims at what restrict the development of integral imaging, main including low spatial resolution, narrow depth range and small viewing angle. This paper summarizes the principle, characteristics and development history of the integral imaging. A variety of methods are compared and analyzed that how to improve the resolution, extend depth of field, increase scope and eliminate the artifact aiming at problems currently. And makes a discussion about the experimental results of the research, comparing the display performance of different methods.
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