Paper
15 September 2006 Super-resolving-extended depth of field imaging system encoded by speckle pattern
Emanuel Marom, Eyal Ben-Eliezer, Naim Konforti
Author Affiliations +
Proceedings Volume 6341, Speckle06: Speckles, From Grains to Flowers; 63411B (2006) https://doi.org/10.1117/12.695362
Event: Speckle06: Speckles, From Grains to Flowers, 2006, Nimes, France
Abstract
In conventional imaging systems, resolution and depth of field cannot be increased independently. In such systems increased resolution decreases the depth of field (DOF). Hereby we present a novel approach that combines super resolution beyond the classical limit, while extending the DOF simultaneously. It is based on a novel approach proposed by Garcia et al10, shown to increase the resolution significantly. In their method, the object is multiplied by a moving speckle pattern, and then imaged by a low resolution imaging system. The acquired low resolution image is then electronically multiplied by a spatially synchronized perfect image of the same speckle to provide a high resolution image. In our approach, an object illuminated by a fine speckle pattern may be located anywhere along an extended DOF region. The imaging system cannot resolve the object's finest details, nor the fine speckle pattern. The acquired low resolution image obtained with a moving speckle pattern is electronically multiplied by the same high resolution synchronized moving speckle to finally produce a high resolution image insensitive to aberrations as well as DOF variations. Simulation results are presented.
© (2006) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Emanuel Marom, Eyal Ben-Eliezer, and Naim Konforti "Super-resolving-extended depth of field imaging system encoded by speckle pattern", Proc. SPIE 6341, Speckle06: Speckles, From Grains to Flowers, 63411B (15 September 2006); https://doi.org/10.1117/12.695362
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KEYWORDS
Imaging systems

Image resolution

Speckle pattern

Speckle

Image quality

Super resolution

Computer simulations

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