典型文献
Towards natural object-based image recoloring
文献摘要：
Existing color editing algorithms enable users to edit the colors in an image according to their own aesthetics.Unlike artists who have an accurate grasp of color,ordinary users are inexperienced in color selection and matching,and allowing non-professional users to edit colors arbitrarily may lead to unrealistic editing results.To address this issue,we introduce a palette-based approach for realistic object-level image recoloring.Our data-driven approach consists of an offline learning part that learns the color distributions for different objects in the real world,and an online recoloring part that first recognizes the object category,and then recommends appropriate realistic candidate colors learned in the offline step for that category.We also provide an intuitive user interface for efficient color manipulation.After color selection,image matting is performed to ensure smoothness of the object boundary.Comprehensive evaluation on various color editing examples demonstrates that our approach outperforms existing state-of-the-art color editing algorithms.
文献关键词：
中图分类号：
作者姓名：
Meng-Yao Cui;Zhe Zhu;Yulu Yang;Shao-Ping Lu
作者机构：
TKLNDST,CS,Nankai University,Tianjin 300350,China;Department of Radiology,Duke University,Durham,NC 27705,USA
文献出处：
引用格式：
[1]Meng-Yao Cui;Zhe Zhu;Yulu Yang;Shao-Ping Lu-.Towards natural object-based image recoloring)[J].计算可视媒体（英文）,2022(02):317-328
A类：
recoloring,inexperienced
B类：
Towards,natural,image,Existing,editing,algorithms,enable,users,colors,according,their,own,aesthetics,Unlike,artists,who,have,accurate,grasp,ordinary,are,selection,matching,allowing,professional,arbitrarily,may,lead,unrealistic,results,address,this,issue,we,introduce,palette,approach,level,Our,data,driven,consists,offline,learning,part,that,learns,distributions,different,objects,world,online,first,recognizes,category,then,recommends,appropriate,candidate,learned,step,We,also,provide,intuitive,interface,efficient,manipulation,After,matting,performed,ensure,smoothness,boundary,Comprehensive,evaluation,various,examples,demonstrates,our,outperforms,existing,state
AB值：
0.555466
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机标中图分类号，由域田数据科技根据网络公开资料自动分析生成，仅供学习研究参考。
