A nonlinear fourier re-weighting image resolution enhancement method and system without point spread function

By performing nonlinear mapping and reweighting on the amplitude spectrum after Fourier transform of the image, the problem of PSF dependence in microscopic imaging is solved, achieving fast and robust image resolution enhancement, which is applicable to various microscopes and imaging modalities.

CN122415331APending Publication Date: 2026-07-17ZHEJIANG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
ZHEJIANG UNIV
Filing Date
2026-04-28
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

Existing microscopic imaging techniques rely on point spread function (PSF) modeling, which is computationally expensive, sensitive to noise, and involves complex parameter adjustments, failing to meet the needs of real-time high-resolution image analysis.

Method used

By applying a nonlinear mapping function to reweight the amplitude spectrum after the Fourier transform of the image, a new complex spectrum is generated, and then an inverse transform is performed to achieve image resolution enhancement without PSF.

Benefits of technology

It achieves fast and robust image resolution enhancement, avoids noise amplification and artifacts caused by division operations, is suitable for various microscopes and imaging modalities, and significantly improves image quality.

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Abstract

The application discloses a nonlinear Fourier reweighting image resolution enhancement method and system without a point spread function. The method comprises the following steps: acquiring an original digital image; performing Fourier transform on the original digital image to separate an amplitude spectrum and a phase spectrum; constructing a nonlinear mapping function with two adjustable parameters, and performing reweighting processing on the amplitude spectrum by using the function to balance high and low frequency energy of the amplitude spectrum and generate a new amplitude spectrum; recombining the new amplitude spectrum and the original phase spectrum; and performing inverse Fourier transform on the combined spectrum to output a resolution enhanced image. The application does not depend on PSF measurement or estimation, only needs one Fourier transform process, and has high calculation efficiency. The core construction is to directly reweight the amplitude in the frequency domain by using a specific nonlinear function, so that the ill-conditioned problem and artifacts of a traditional deconvolution algorithm are avoided. The application can be widely applied to optical fluorescence microscopy, astronomical imaging and clear processing of general digital images.
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