Super-resolution image acquisition method and system based on human eye retina mechanism

Abstract

The invention discloses a super-resolution image acquisition method and system based on a human eye retina mechanism and belongs to the field of photoelectric imaging technology. Through the method, according to the characteristics that low-resolution log-polar coordinate images with horizontal sub-pixel displacement and vertical sub-pixel displacement can be obtained according to human eye retinarotation and scale invariance, low-resolution images needed for super-resolution reconstruction are acquired through combined transformation of the horizontal sub-pixel displacement and the verticalsub-pixel displacement, image registration parameters are simplified, and the complexity of super-resolution reconstruction is lowered; and meanwhile, since a non-uniform sampling structure of a humaneye retina space has the characteristics that the middle has a high resolution in imaging and the edge has a low resolution in imaging, the data volume involved in super-resolution reconstruction isreduced, the efficiency of super-resolution reconstruction is improved, and target recognition and tracking speed after super-resolution reconstruction is further increased. The invention furthermorediscloses the super-resolution image acquisition system based on the human eye retina mechanism, and the system is used for implementing the method.

Description

technical field [0001] The invention relates to a super-resolution image acquisition method and system of the retinal mechanism of the human eye, and belongs to the technical field of photoelectric imaging. Background technique [0002] The pixel density in high-resolution images is higher, and it can provide more image detail information than low-resolution images at the same size, which can be used for accurate target recognition and tracking. Therefore, it is widely used in medical digital imaging, video surveillance, space remote sensing and Areas such as targeting are playing an increasingly important role. High-resolution images can be obtained by reducing the pixel size of the imaging device in the imaging system and increasing the pixel density of the imaging device in the imaging system. However, the current manufacturing level of the imaging device is not yet mature, the technology is complicated, and the development cost is high. Using super-resolution reconstruc...

AI Technical Summary

Problems solved by technology

[0005] The technical problem to be solved by the super-resolution image acquisition method and system of the human retinal mechanism disclosed in the present invention is: to obtain an initial low-resolution image with spatially variable resolution according to the human retinal mechanism, and then realize the super-resolution image Reconstruction has the advantages of simple system, small reconstruction complexity and less data calculation

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