Research on Visual Improvement of Image Aesthetics Based on Multi-Feature Joint Learning

doi:10.1109/SMARTGENCON60755.2023.10442271

LZUFE-KMS

	Research on Visual Improvement of Image Aesthetics Based on Multi-Feature Joint Learning
	Wang, Tingting 1,2
	2023
会议名称	3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023
会议录名称	2023 3rd International Conference on Smart Generation Computing, Communication and Networking, SMART GENCON 2023
会议日期	December 29, 2023 - December 31, 2023
会议地点	Bangalore, India
出版者	Institute of Electrical and Electronics Engineers Inc.
摘要	Visual improvement of image aesthetics plays an important role in image research, but there is a problem that the improvement effect is not ideal. The homomorphic filtering method cannot improve the aesthetic visual effect of the image, and the feature extraction time is slow. Therefore, this paper proposes a multi-feature joint learning method to study the visual improvement of image aesthetics. Firstly, gradient operators and Gabor transforms are used to train the texture features and edge features of the image to reduce the interference factors in the process of image feature extraction. Then, the multi-feature joint learning method is used to analyze the visual improvement of image aesthetics, and the visual improvement effect of image aesthetics is comprehensively analyzed. The simulation results show that the proposed method is better than the homomorphic filtering method in terms of the accuracy and extraction time of image feature extraction, which can effectively improve the aesthetic visual effect of the image. © 2023 IEEE.
DOI	10.1109/SMARTGENCON60755.2023.10442271
收录类别	EI
语种	英语
EI入藏号	20241115737070
原始文献类型	Conference article (CA)
文献类型	会议论文
条目标识符	http://ir.lzufe.edu.cn/handle/39EH0E1M/38097
专题	兰州财经大学
通讯作者	Wang, Tingting
作者单位	1.Northwest Minzu University, 730030, China; 2.Lanzhou University of Finance and Economics, 730030, China
通讯作者单位	兰州财经大学
推荐引用方式 GB/T 7714	Wang, Tingting. Research on Visual Improvement of Image Aesthetics Based on Multi-Feature Joint Learning[C]:Institute of Electrical and Electronics Engineers Inc.,2023.