Visual functions of the elderly are gradually changing with age, and in general, the elderly perceives images differently from the younger. To give the same perception for the same image, a different image from an original image needs to be displayed to the elderly. In this paper, a method of generating the inverse characteristic of the image filter for the presbyopia is proposed. To this end, a serially-cascaded neural network model is proposed. The neural network is composed of 4 layers. The 4-layer neural network is divided into 2 blocks on the aspect of function. The upper and the lower layers play a role of simulating the image conversion and obtaining its opposite characteristic, respectively. The performance of the proposed framework is evaluated by the experiments on the image pre-conversion for the presbyopia.
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