인공신경망 기반의 Decolorization 파라메터 자동 결정 방법

Abstract

In this paper, we propose a method to find optimal parameters for decolorization using convolutional neural networks. Decolorization is a technique for converting color images into gray images. The conventional decolorization methods have a problem that the parameter can not be determined automatically. The proposed method automatically finds optimal parameters with a deep neural network. In the experiment, the proposed method generates a visually pleasing gray image compared to the conventional method.