Modeling of image complexity is a research that builds a computer to sense the visual complexity of images in a way that is similar to the majority of people. The research is an interdisciplinary subject and is of great significance in the field of image engineering. In this article

the main methods of evaluating image complexity have been carried out by a comprehensive analysis. The paper reviews the different application fields of image complexity. Then the paper introduces the evaluation methods for visual complexity in detail from information theory

theory of image compression

image analysis and image modeling method of complexity. Especially

we focus on descriptions of the image features used in the complexity evaluation method based on the image features. In terms of image complexity assessment

we illustrate the classification and regression methods for evaluating complexity of images. This work also proposes the existing problems and challenges in the study of image complexity.