Image quality assessment based on aesthetic evaluation

Jiayin Zhao; Xinhong Zhang; Xiangyu Wang; Fan Zhang

doi:10.1117/12.2691853

23 August 2023 Image quality assessment based on aesthetic evaluation

Jiayin Zhao, Xinhong Zhang, Xiangyu Wang, Fan Zhang

Proceedings Volume 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023); 127842L (2023) https://doi.org/10.1117/12.2691853
Event: 2023 2nd International Conference on Applied Statistics, Computational Mathematics and Software Engineering (ASCMSE 2023), 2023, Kaifeng, China

Abstract

Visual information accounts for about three-fourths of the total information received by humans, and image information is an important component of visual information. Usually, human beings get the most intuitive sense of "beauty" by directly observing images with the naked eye. However, with the development of technology, we are trying to use computers and image processing techniques to obtain an image quality assessment method that is close to the subjective consistency of human beings and meets the requirements of "beauty". Therefore, the general image quality assessment methods are not applicable, and the image aesthetic quality evaluation has become the most important research hotspot in the image processing field. With the progress of technology and the improvement of equipment, people's requirements for image aesthetic quality are also increasing. In this paper, we will introduce and analyze several deep learning-based image aesthetic quality evaluation algorithms, and finally present an outlook on the future of this field.

Citation Download Citation

Jiayin Zhao, Xinhong Zhang, Xiangyu Wang, and Fan Zhang "Image quality assessment based on aesthetic evaluation", Proc. SPIE 12784, Second International Conference on Applied Statistics, Computational Mathematics, and Software Engineering (ASCMSE 2023), 127842L (23 August 2023); https://doi.org/10.1117/12.2691853

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