电讯技术2024，Vol.64Issue(4)：537-545,9.DOI:10.20079/j.issn.1001-893x.221228001
语义驱动的颜色恒常决策算法
A Semantic-driven Color Constancy Decision Algorithm
摘要
Abstract
Different color constancy algorithms are applicable to images of different scenes,and algorithmic fusion is one of the common methods to extend the applicability of color constancy algorithms,while the existing fusion algorithms ignore the role of semantic information in image texture characterization based on algorithm selection,resulting in low accuracy in illuminant estimation.To address this problem,a semantic-driven color constancy decision algorithm is proposed.Firstly,the scene semantic segmentation is performed on the target image after the 1st Gray Edge preprocessing using the Pyramid Scene Parsing Network(PSPNet)model,and the percentage of each semantic category in the scene is calculated.Secondly,similar reference images are searched in the trained decision set based on semantic categories and occupancy ratios and the semantic similarity between them is calculated by using Euclidean distance.Finally,the semantic similarity is discriminated from the threshold value based on multi-dimensional Euclidean space,and a suitable algorithm is selected to implement color bias correction for the target image based on the discriminant result.The experimental results in Color Checker and NUS-8 camera datasets show that the proposed algorithm significantly reduces the angle error of illuminant estimation compared with a single algorithm,and reduces 14.02%and 8.17%respectively compared with the same type of fusion algorithm,which improves the robustness and accuracy of illuminant estimation.关键词
光源估计/图像处理/颜色恒常性/场景语义分割Key words
illuminant estimation/image processing/color constancy/scene semantic segmentation分类
信息技术与安全科学引用本文复制引用
刘凯,孙鹏,童世博,解梦达..语义驱动的颜色恒常决策算法[J].电讯技术,2024,64(4):537-545,9.基金项目
国家自然科学基金资助项目(61307016) （61307016）
辽宁省创新人才支持计划(LNCX2020005) （LNCX2020005）
公安部技术研究计划(2020JSYJC25) （2020JSYJC25）
司法部司法鉴定重点实验室开放课题(KF202014) （KF202014）
中国刑事警察学院研究生创新能力提升项目(2022YCYB50) （2022YCYB50）
