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We describe how the use of multiple-camera imaging systems provides an interesting alternative imaging modality to conventional single-aperture imaging, but with a different challenge: to computationally integrate diverse images while demonstrating an overall system benefit. We report the use of super-resolution with arrays of nominally identical longwave infrared cameras to yield high-resolution imaging with reduced track length, while various architectures enable foveal imaging, 4π and 3D imaging through the exploitation of integral imaging techniques. Strikingly, multi-camera spectral imaging using a camera array can uniquely demonstrate video-rate imaging, high performance and low cost. © (2017) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Recent advances in the SEERS project on the development of a IR multi aperture imaging system for surveillance aplications will be presented. Efforts on the development of embedded algorithms for image reconstruction of multi spectral and super resolution images, and image-based measurements will be described.
We present an integral-imaging super-resolution imaging system in the long-wave infrared based on a synchronous array of low-cost uncooled cameras that yields enhanced angular resolution and 3D integral-imaging capabilities, operating at video rate. Integral imaging facilitates the sub-pixel image registration required for SR at specific planes.
We demonstrate a multi-aperture longwave-infrared multispectral imaging technique that, though simple, uniquely combines for the first time the advantages of high throughput, video-rate operation, real-time optimization and low cost. We report snapshot imaging, detection and classification of gas clouds and plastics.
Méndez-Rial, R., Souto-López, Á., Rodríguez-García, J., Rodríguez-Araújo, J., & García-Díaz, A.