DSpace@MIT (Massachusetts Institute of Technology)· 2012· Preprint
Normalized ghost imaging
- 207citations
- 2012year
Short summary
A novel normalized weighting algorithm for iterative ghost imaging matches the performance of differential ghost imaging, adapting to changes in light field efficiency.
AI-generated from the title and abstract; the full text is not read.
Key points
- Developed a normalized weighting algorithm for iterative ghost imaging.
- Algorithm adapts to changes in generated light field efficiency.
- Experimental results show performance matches differential ghost imaging.
AI-generated from the title and abstract; the full text is not read.
Abstract
We present an experimental comparison between different iterative ghost imaging algorithms. Our experimental setup utilizes a spatial light modulator for generating known random light fields to illuminate a partially-transmissive object. We adapt the weighting factor used in the traditional ghost imaging algorithm to account for changes in the efficiency of the generated light field. We show that our normalized weighting algorithm can match the performance of differential ghost imaging.
The authors' abstract, as published at the source. DSpace@MIT (Massachusetts Institute of Technology), 2012 · DOI ↗
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Field: Acoustics and Ultrasonics
Acoustics and UltrasonicsPhysics and Astronomy