1. Single-Chip Neural Network Modal Wavefront Reconstruction for Hartmann-Shack Wavefront Sensors
- Author
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G. Pudasaini, C. Alvarez Diez, Josef F. Bille, Davies William de Lima Monteiro, and Thomas Nirmaier
- Subjects
Microlens ,Wavefront ,business.industry ,Computer science ,Zernike polynomials ,Strehl ratio ,Image processing ,Wavefront sensor ,ComputerSystemsOrganization_PROCESSORARCHITECTURES ,Deformable mirror ,symbols.namesake ,symbols ,Computer vision ,Artificial intelligence ,business ,Adaptive optics - Abstract
We describe existing concepts for CMOS3-based Hartmann-Shack wavefront sensors and propose the next step for a further miniaturization of adaptive optics by integrating the modal wavefront reconstruction on chip. In conventional Hartmann-Shack wavefront sensing a CCD4 camera is placed on the focal plane of a microlens array. The spot pattern in the focal plane is captured, analyzed by image processing and the wavefront is often decomposed into orthogonal modes, usually expressed in coe.cients of Zernike polynomials. The single-chip modal wavefront reconstructor would include all these processing steps in a single chip. We propose to use already existing CMOS-based wavefront sensor concepts and add a hardware arti.cial neural network for modal wavefront reconstruction.
- Published
- 2005
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