Abstract

Image resolution is a set of performance parameters used to evaluate the richness of detailed information contained in an image, including temporal resolution, spatial resolution and color scale resolution, etc., which reflects the ability of the imaging system to reflect the detailed information of objects. In this paper, a super-resolution image transmission technology based on virtual optics is proposed. The original image is placed on the object plane of the virtual light path. Firstly, the light wave signal of the original image on the virtual diffraction plane is obtained by inverse diffraction calculation. Then, the light wave of the virtual diffraction plane is illuminated by spherical wave and then the forward diffraction calculation is performed. By changing the position of the observation plane, the original images with different magnification can be reconstructed. The simulation test results show that compared with the general interpolation amplification method, the amplified image has a good visual perception effect, especially in the significant area. The results obtained by the algorithm in this paper are better than the interpolation model and convolutional neural network algorithm as a whole; The above test results objectively show that the super-resolution effect of this algorithm is better.

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