Low signal to noise ratio image reconstruction method and system

Abstract

The invention discloses a low signal to noise ratio image reconstruction method and system. Implementation of the low signal to noise ratio image reconstruction method includes the steps: averaging an original image to obtain an average image according to the phase and the direction; separating the average image according to the phase difference to obtain a separate image, and performing normalization processing on the separate image to obtain a normalized separate image; calculating the illumination optical vector estimated by a normalized separate image cross-correlation function; translating different normalized separate images according to the estimated illumination optical vector, and estimating the modulation intensity and the initial phase of the illumination optical vector; decomposing the original image to obtain a decomposed image, and according to the estimated illumination optical vector, performing frequency moving on the decomposed image to obtain a frequency moving image; performing Wiener filtering on the frequency moving image to obtain a super-resolution image; and performing establishing a target function, performing iteration updating on the target function, and obtaining a denoised image when the error is less than the preset value. The low signal to noise ratio image reconstruction method and system can improve the current time resolution, and can reduce the artificial artifact in the image.

Description

technical field [0001] The invention belongs to the field of digital image processing, and more particularly, relates to a low signal-to-noise ratio image reconstruction method and system. Background technique [0002] To observe cell membrane structures close to the glass slide, total internal reflection fluorescence microscopy (TIRF) is usually used. TIRF microscopy achieves the purpose of improving the signal-to-noise ratio by limiting the penetration depth of excited fluorescence and eliminating background fluorescence outside the focal plane. However, the total internal reflection fluorescence microscope is limited by the frequency low-pass characteristics of the imaging system, and the resolution of the fluorescence images collected by the camera is low. The introduction of structured light illumination super-resolution microscopy imaging technology into TIRF microscopes with large numerical aperture can greatly improve the resolution of TIRF microscopes. However, as...

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Problems solved by technology

[0003] In view of the above defects or improvement needs of the prior art, the present invention provides a low signal-to-noise ratio image reconstruction method and system, the purpose of which is to improve the existing temporal resolution and reduce artificial artifacts in the image, thereby Solve the problem of inaccurate parameter estimation during the image reconstruction process of total internal reflection fluorescence microscopy when the exposure time is reduced and the signal-to-noise ratio of the acquired image is low

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