Super-resolution image information obtaining method based on vision bionics

Abstract

The invention discloses a super-resolution image information obtaining method based on vision bionics, and belongs to the field of image processing. The super-resolution image information obtaining method based on vision bionics is provided through the enlightenment that human eyes can obtain super-resolution image information in the micro-motion mode and through the combination of the human eye fixation eye movement and the super-resolution characteristics. By means of the method, a model for obtaining the super-resolution image information is established, the quantitative relation between the human eye fixation eye movement and the super-resolution image information obtaining is disclosed, and the simulation verification is conducted through actual image data. Image details obtained through the method are greatly increased, the visual effect is obviously improved, and in other words, the super-resolution image information is obtained; the method has application and popularization value.

Description

technical field [0001] The invention relates to the field of image processing, in particular to super-resolution image acquisition technology. Background technique [0002] The retina of the human visual system undertakes the primary processing function of visual signals. In general, the retina consists of three layers of cells. The first layer is the photoreceptor cell layer, which is mainly responsible for sensing external light stimulation; the second layer is the bipolar cell layer, which is responsible for communication, connecting photoreceptor cells and ganglion cells; the third layer is the ganglion cell layer, which is The only cell that encodes visual information processed by the retina into neural electrical signals for transmission to the brain. There is a very important concept in the retina - receptive field. The receptive field of ganglion cells refers to the ganglion cells within a certain area. These cells can simultaneously feel a certain stimulus from th...

AI Technical Summary

Problems solved by technology

However, more and more observations and experimental results show that such an understanding cannot explain the full meaning of fixation and micro-movements, so a large number of explanations for eye movement functions continue to emerge

The current mainstream opinion agrees that when a person is looking at a special object or background, fixation micro-movements also have corresponding significance and effects on the acuity and precision of vision, but the specific relationship between eyeball fixation micro-movements and super-resolution Relationships have not been studied in detail

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