The Analysis Of Information Extracting Model For Artificial Retina Based On Wavelet Transform

Artificial retina is aimed for the stimulation of remained retinal neurons in the patient with degenerated photoreceptors. Many researchers are focus on artificial retina system around the world, as artificial retina is needed for people's health, developing economy of the country and advancement of the society to cure the blind. The world health organization estimated there are 40 million to 45 million blind around the world. At present, many countries invested much fund in artificial retina research, to substitute the artificial retina for the pathological retina to cure the blind (AMD and RP), by stimulating the inner retinal cells directly with the electrical signals which be produced by artificial retina.Microelectrode arrays have been developed for this as a part of stimulator. Design such microelectrode arrays first requires a suitable mathematical model for human retinal information processing. Also the artificial retina chip had been implanted in the retina to cure the blind in some laboratories, the theoretical model was not uniform and the chip is not economical and practical. This paper is focus on the mathematical model for artificial retina, do theory analyzing, and try to present a theoretical model.In this paper, a flexible and adjustable human visual information abstracting model is presented, which is based on the wavelet transform. With the flexible of wavelet transform to image information processing and the consistent to human visual information extracting, wavelet transform theory is applied to the artificial retina model for the retinally blind.The experiment demonstrates that the visual information extracting model behaves in a manner qualitatively similar to biological retinas and thus may serve as a basis for the development of an artificial retina.