Paper
15 March 2016 Novel multi-aperture approach for miniaturized imaging systems
F. C. Wippermann, A. Brückner, A. Oberdörster, A. Reimann
Author Affiliations +
Proceedings Volume 9760, MOEMS and Miniaturized Systems XV; 97600S (2016) https://doi.org/10.1117/12.2211698
Event: SPIE OPTO, 2016, San Francisco, California, United States
Abstract
The vast majority of cameras and imaging sensors relies on the identical single aperture optics principle with the human eye as natural antetype. Multi-aperture approaches – in natural systems so called compound eyes and in technology often referred to as array-cameras have advantages in terms of miniaturization, simplicity of the optics and additional features such as depth information and refocusing enabled by the computational manipulation of the system´s raw image data. The proposed imaging principle is based on a multitude of imaging channels transmitting different parts of the entire field of view. Adapted image processing algorithms are employed for the generation of the overall image by the stitching of the images of the different channels. The restriction of the individual channel´s field of view leads to a less complex optical system targeting reduced fabrication cost. Due to a novel, linear morphology of the array camera setup, depth mapping with improved resolution can be achieved. We introduce a novel concept for miniaturized array-cameras with several mega pixel resolution targeting high volume applications in mobile and automotive imaging with improved depth mapping and explain design and fabrication aspects.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
F. C. Wippermann, A. Brückner, A. Oberdörster, and A. Reimann "Novel multi-aperture approach for miniaturized imaging systems", Proc. SPIE 9760, MOEMS and Miniaturized Systems XV, 97600S (15 March 2016); https://doi.org/10.1117/12.2211698
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CITATIONS
Cited by 2 scholarly publications and 2 patents.
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KEYWORDS
Computing systems

Super resolution

Image segmentation

Image quality

Image resolution

Mirrors

Mobile devices

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