Implementation method of retina encoder using space time filter

Abstract

This invention relates to one visual film coding method in computer application field, which comprises the following steps: inputting specimen image into time and space filter to get the BP human neural network input, train BP human neural net and to determine human neural net weight value; then inputting specimen any image and taking one random set of filter parameters by use of particle set or strategy method in filter parameter range for optimization; through multiple overlap, outputting image converged to input image and the parameters of the filter are determined with output impulse excitation is relative to input image film codes.

Description

technical field [0001] The invention relates to a method in the field of computer application technology, in particular to a method for realizing a retinal encoder using a spatio-temporal filter. Background technique [0002] Retinal encoder is an important part of retinal artificial vision prosthesis, which is proposed based on known physiological knowledge and experimental data to solve the corresponding relationship between input images and stimulus pulse trains. Vision is an important way for human beings to obtain information. However, many people in the world have different degrees of visual impairment and cannot obtain information through vision. According to the statistics of the World Health Organization, nearly 40 million people are blind in the world, and another 100 million people have varying degrees of visual impairment or weakening. For patients who are blind due to retinal disease, some retinal cells and optic nerve cells are still functioning well. So it ...

AI Technical Summary

Problems solved by technology

Its shortcoming is that the spatio-temporal filter used in the ECKMILLER retinal coding method is only a reconstruction of the image, and does not directly link the image with the pulse stimulus

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