Calculation and Application of Xin’an Painting School Art Style Model

Abstract

Abstract Artists and critics generally make artistic analysis of paintings based on their experience and subjective consciousness. In order to calculate the art style of the Xin’an School of Painting objectively, this paper attempts to propose several digital features including redundancy, degree of order and complexity to describe the artistic style of paintings algorithm under the framework of computable aesthetics on the basis of Shannon entropy in information theory. Taking the five painters of different periods as the research object, the digital features of the selected paintings are calculated and analyzed. The experimental results show that the proposed digital features can reflect the artistic style and the differences between different artists of the Xin’an School of Painting in different periods to some extent, which are basically consistent with the subjective aesthetic perception of the School.