Fast autofocusing based on single-pixel moment detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F24%3A00599268" target="_blank" >RIV/67985556:_____/24:00599268 - isvavai.cz</a>

Result on the web

<a href="https://www.nature.com/articles/s44172-024-00288-z" target="_blank" >https://www.nature.com/articles/s44172-024-00288-z</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1038/s44172-024-00288-z" target="_blank" >10.1038/s44172-024-00288-z</a>

Result language

angličtina

Original language name

Fast autofocusing based on single-pixel moment detection

Original language description

Traditional image processing-based autofocusing techniques require the acquisition, storage, and processing of large amounts of image sequences, constraining focusing speed and cost. Here we propose an autofocusing technique, which directly and exactly acquires the geometric moments of the target object in real time at different locations by means of a proper image modulation and detection by a single-pixel detector. An autofocusing criterion is then formulated using the central moments, and the fast acquisition of the focal point is achieved by searching for the position that minimizes the criterion. Theoretical analysis and experimental validation of the method are performed and the results show that the method can achieve fast and accurate autofocusing. The proposed method requires only three single-pixel detections for each focusing position of the target object to evaluate the focusing criterion without imaging the target object. The method does not require any active object-to-camera distance measurement. Comparing to local differential methods such as contrast or gradient measurement, our method is more stable to noise and requires very little data compared with the traditional image processing methods. It may find a wide range of potential applications and prospects, particularly in low-light imaging and near-infra imaging, where the level of noise is typically high.

Czech name

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Czech description

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Type

J_SC - Article in a specialist periodical, which is included in the SCOPUS database

CEP classification

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OECD FORD branch

20204 - Robotics and automatic control

Project

<a href="/en/project/GA21-03921S" target="_blank" >GA21-03921S: Inverse problems in image processing</a><br>

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Communications Engineering

ISSN

2731-3395

e-ISSN

2731-3395

Volume of the periodical

3

Issue of the periodical within the volume

1

Country of publishing house

GB - UNITED KINGDOM

Number of pages

15

Pages from-to

140

UT code for WoS article

—

EID of the result in the Scopus database

2-s2.0-85206250714