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Optimizing autofocus under multispectral lighting via enhanced SIFT and Pearson correlation coefficient.

Chao Ma1, Mingkun Zhang1, Zhiyong Dai2

  • 1College of Information Engineering, Henan University of Science and Technology, Luoyang, China.

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|November 17, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel multispectral quick focusing method using an improved Tenengrad function and Scale Invariant Feature Transformation (SIFT) algorithm. The Pearson correlation coefficient enhances focusing speed and accuracy for multispectral imaging systems.

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Area of Science:

  • Optics and Photonics
  • Image Processing
  • Computational Imaging

Background:

  • Multispectral imaging offers high accuracy and cost benefits using black and white cameras with multi-band lighting.
  • Chromatic aberration causes focus shifts with varying wavelengths, necessitating precise focusing for system efficiency.

Purpose of the Study:

  • To develop an efficient and accurate multispectral quick focusing method.
  • To enhance image sharpness evaluation and optimize the focusing process for multispectral images.

Main Methods:

  • An improved Tenengrad function was developed for sharpness evaluation, extracting multi-directional gradient information.
  • The Scale Invariant Feature Transformation (SIFT) algorithm was integrated with the Tenengrad function to create the SIFT Quad-Tenen sharpness evaluation function.
  • A hybrid search strategy combining climbing search and traversal methods was employed for efficient focusing.
  • The Pearson correlation coefficient was introduced to leverage inter-band image similarity for improved focusing speed and accuracy.

Main Results:

  • The SIFT Quad-Tenen evaluation function demonstrated superior stability and sensitivity compared to existing methods.
  • The proposed Pearson-Hill climbing algorithm significantly improved multispectral focusing speed and accuracy.
  • Experimental results validated the effectiveness of the developed focusing method.

Conclusions:

  • The novel multispectral quick focusing method, incorporating SIFT Quad-Tenen and Pearson correlation, offers enhanced performance.
  • This approach addresses chromatic aberration challenges in multispectral imaging, improving overall system efficiency and accuracy.