Enhancing All-in-Focus Imaging with Opto-Electronic Computational Camera using DE-ED Paradigm

A novel approach called DE-ED (Diffractive Encoding-Electronic Decoding) for rapid all-in-focus capturing is presented in this paper. The paradigm combines the strengths of diffractive networks (DON) for encoding and electronic-based networks (ENN) for decoding, resulting in a robust computational i...

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Published inJournal of physics. Conference series Vol. 2617; no. 1; pp. 12009 - 12014
Main Authors Shi, Jiashuo, Zhou, Liang, Zhang, Xinyu
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.10.2023
Subjects
Coding
Computational imaging
Diffractive optical network
Image enhancement
Image quality
Opto-electronic hybrid system
Optoelectronics
Physics
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Summary:A novel approach called DE-ED (Diffractive Encoding-Electronic Decoding) for rapid all-in-focus capturing is presented in this paper. The paradigm combines the strengths of diffractive networks (DON) for encoding and electronic-based networks (ENN) for decoding, resulting in a robust computational imaging framework driven by advanced deep learning techniques. By leveraging the collaboration between diffractive layers and electronic layers, our model achieves remarkable enhancements in the ability to generalize and fit data. This means that the model can effectively capture and process complex visual information, resulting in superior image quality and enhanced performance.
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ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2617/1/012009