Super-resolution image reconstruction method based on multiple out-of-focus images

Abstract

The invention relates to a super-resolution image reconstruction method based on multiple out-of-focus images. The super-resolution image reconstruction method based on multiple out-of-focus images includes the steps: selecting one original resolution sharp image I and n original resolution out-of-focus images Gj; calculating the pre-estimated high solution image Xo of I; utilizing a particle swarm iteration algorithm to estimate the pre-estimated fuzzy radius Rj and the pre-estimated point spread function hj, and performing combined reconstruction on Xo by means of the compression perception technology and according to Gj so as to obtain the current high solution image Xt; taking Xt as the basis of the iterative computation high solution image X; taking Rj and hj as the initial values, and utilizing the particle swarm iteration algorithm to solve the fuzzy radius Rj and the point spread function hj; and performing combined reconstruction on the image X by combination with n images Gj by means of the compression perception technology and according to the point spread function hj, so as to obtain the super-resolution image M. The super-resolution image reconstruction method based on multiple out-of-focus images can perform blind reconstruction on the unknown point spread function, is simple in the algorithm and is high in the operation speed.

Description

technical field [0001] The invention relates to the technical field of blurred image restoration, in particular to a method for reconstructing an original image by using multiple original defocused images to obtain a super-resolution image. Background technique [0002] In real life, due to various reasons, the image will have different degrees of degradation. There are many factors of image degradation, such as diffraction of the optical system, nonlinear distortion of the sensor, aberration of the optical system, blur caused by defocus, and atmospheric turbulence. Disturbance effects and image blur caused by motion, etc. Among them, defocus blur generally exists in major scientific research and research fields such as satellite remote sensing images, space exploration imaging, public security investigation, analysis and research of microscopic substances, and medical diagnosis. In daily life, defocusing may be caused by inaccurate focusing, hand shaking or quality problem...

AI Technical Summary

Problems solved by technology

[0004] Aiming at the above-mentioned deficiencies in the prior art, the present invention provides a super-resolution image reconstruction method based on multiple defocused images to solve the problem of relying on the known point spread function, large amount of calculation, and slow calculation speed in the prior art. technical problems, so as to realize the blind reconstruction of the unknown point spread function, simplify the algorithm, and improve the operation speed

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