基于二元光学计算的资源节约型高鲁棒性图像感知（激光光子学Rev. 19(7)/2025）

IF 9.8 1区物理与天体物理 Q1 OPTICS

Laser & Photonics Reviews Pub Date : 2025-04-04 DOI:10.1002/lpor.202570025

Zhanhong Zhou, Ziwei Li, Wei Zhou, Nan Chi, Junwen Zhang, Qionghai Dai

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引用次数: 0

摘要

二值光计算封面展示了一种具有空间复用和聚合的新型二值加权光计算引擎，该引擎实现了高效和噪声鲁棒的图像感知。详情见李子伟、达琼海及其同事的文章2400936。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Resource-Saving and High-Robustness Image Sensing Based on Binary Optical Computing (Laser Photonics Rev. 19(7)/2025)

查看原文本刊更多论文

Resource-Saving and High-Robustness Image Sensing Based on Binary Optical Computing (Laser Photonics Rev. 19(7)/2025)

Binary Optical Computing

The front cover shows a novel binary-weighted optical computing engine with spatial multiplexing and aggregation that achieves high-efficiency and noise robust image sensing. See article 2400936 by Ziwei Li, Qionghai Da and co-workers for more details.

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来源期刊

Laser & Photonics Reviews 物理-光学

CiteScore

14.20

自引率

5.50%

发文量

314

审稿时长

2 months

期刊介绍： Laser & Photonics Reviews is a reputable journal that publishes high-quality Reviews, original Research Articles, and Perspectives in the field of photonics and optics. It covers both theoretical and experimental aspects, including recent groundbreaking research, specific advancements, and innovative applications. As evidence of its impact and recognition, Laser & Photonics Reviews boasts a remarkable 2022 Impact Factor of 11.0, according to the Journal Citation Reports from Clarivate Analytics (2023). Moreover, it holds impressive rankings in the InCites Journal Citation Reports: in 2021, it was ranked 6th out of 101 in the field of Optics, 15th out of 161 in Applied Physics, and 12th out of 69 in Condensed Matter Physics. The journal uses the ISSN numbers 1863-8880 for print and 1863-8899 for online publications.