University-industry Cooperation Group of Kyung Hee University

Sungyoung Lee

Sung-Ho Bae

Tae-Seong Kim

Young-Koo Lee

Phan Tran Ho Truc

An artificial neural network system of the present invention can include an input layer that receives input data; an output layer that outputs output data corresponding to the input data; and a hidden layer group including a multiple number of hidden layers that are positioned between the input layer and the output layer and are connected by connection weights, with the connection weights updated based on a difference between the output data and prediction data corresponding to the input data, where each of the hidden layers can include a hidden node that includes an activation function, which can output 0 if the input value is negative and can determine the output value based on linear functions having different slopes according to the range of the input value if the input value is positive, and the linear functions can have smaller slopes for greater distances from the origin point.

Artificial neural network system using a piecewise linear rectifier unit for compensating component defects

A super-resolution method according to the inventive concept may include receiving an input image of low resolution, separating the input image into low resolution (LR) unit patches, classifying a texture type of each of pixels included in the input image using a local binary pattern for the LR unit patches, generating high resolution (HR) unit patches corresponding to each of the pixels based on a mapping kernel corresponding to the texture type, and combining the HR unit patches based on a predetermined setting to generate an output image of high resolution.

Super-resolution method using local binary pattern classification and linear mapping

Disclosed is a method for enhancing blood vessels in angiography images. The method incorporates the use of linear directional features present in an image, extracted by a Directional Filter Bank, to obtain more precise Hessian analysis in noisy environment and thus can correctly reveal small and thin vessels. Also, the directional image decomposition helps to avoid junction suppression, which in turn, yields continuous vessel tree.

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Seongnam-si, South Korea

Sungyoung Lee