计算机工程与科学2025，Vol.47Issue(3)：513-523,11.DOI:10.3969/j.issn.1007-130X.2025.03.013
结合图像分解和自稀疏模糊聚类的情感颜色迁移
Emotional color transfer combining image decomposition and self-sparse fuzzy clustering
摘要
Abstract
Aming at the problems of lack of layering,blurring of details and poor visual effect in tra-ditional emotion color transfer methods,a new transfer method is proposed by combining image decom-position and self-sparse fuzzy clustering.Firstly,in order to better maintain the details of the image,a cartoon texture decomposition based on low-rank texture prior is introduced to divide the source image into a smoothed map containing the main colors and a texture map with local information.Secondly,the self-sparse fuzzy clustering method is used to obtain the main representative colors and corresponding segmentation regions of the smooth map,enabling the result image to better retain the structure of the source image.Finally,an adaptive brightness correction anti-overflow strategy is designed,and based on this,a new emotional color transfer method is proposed to make the result image more consistent with human visual characteristics.Experimental results show that the proposed method produces higher-quality transfer result images and performs better in both subjective and objective evaluations.关键词
情感颜色迁移/自稀疏模糊聚类/图像分解/自适应亮度修正/平滑图Key words
emotional color transfer/self-sparse fuzzy clustering/image decomposition/adaptive brightness correction/smoothing map分类
信息技术与安全科学引用本文复制引用
谢斌,李燕伟,杨舒敏,徐燕,王冠超..结合图像分解和自稀疏模糊聚类的情感颜色迁移[J].计算机工程与科学,2025,47(3):513-523,11.基金项目
国家自然科学基金(61972264) （61972264）
江西省自然科学基金(20192BAB207036) （20192BAB207036）
江西理工大学博士启动基金(20520010058) （20520010058）
