A method of eliminating defocus noise in optical scanning holography based on self-organizing map neural network
A technology of self-organizing mapping and neural network, which is applied in the field of eliminating defocus noise in optical scanning holography, can solve problems such as low timeliness, deformation, and rough edges of results, and achieve the effects of easy operation, short training time, and simple implementation
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment
[0061] Such as Figure 1 to Figure 6 As shown, the method for eliminating optical scanning holographic defocus noise based on self-organizing map neural network, the specific steps are as follows:
[0062] (S100) Obtaining an encrypted hologram by scanning the object with an optical holographic scanning device:
[0063] The basic structure of the optical holographic scanning device used is as follows: figure 1 As shown, it includes: the laser Laser, the first beam splitter BS1 corresponding to the laser Laser, the acousto-optic modulator AOFS, the first mirror M1, the first pupil p 1 (x, y) and the first optical path formed by the first convex lens L1 and corresponding to the first beam splitter BS1, the second mirror M2, the second pupil p 2 (x, y) and the second convex lens L2 constitute the second optical path corresponding to the first beam splitter BS1, the second beam splitter BS2 that combines the first optical path and the second optical path by interference, and the...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com