摘要
基于物体表面色样本的视觉评价,测试了典型色差公式对超大色差的预测性能。由18名观察者按照倍率法对60组颜色样本对进行心理物理视觉评价实验,获得视觉色差的评价数据。利用实验数据对两个常用色差公式CIELAB和CIEDE2000以及基于色貌模型的最新色差公式CAM02-UCS和CAM02-LCD的超大色差预测性能进行了详细的比较和分析,结果表明基于色貌模型的两个公式性能优异。同时,使用本实验视觉数据考察了Attridge等人提出的幂指数模型,并得到了一致的结论。
The performances of colour-difference formulae were investigated for predicting very large colour difference based on visual evaluation of object surface colours. The experiment of psychophysical visual assessment of 60 sample pairs with ratio judgement was carried out on 18 observers. The evaluation data of visual colour difference were brained. The data were used to evaluate the two common colour-difference formulae, CIELAB and CIEDE2000, and the two latest CAM-based colour-difference formulae, CAM02-UCS and CAM02-LCD. The detailed comparison and analysis indicated that CAM02-UCS and CAM02-LCD outperformed others for very large colour difference. In addition, the experimental data were employed to test the power law model proposed by Attridge et al. and the consistent result was obtained.
出处
《光学学报》
EI
CAS
CSCD
北大核心
2009年第7期1801-1806,共6页
Acta Optica Sinica
基金
国家自然科学基金(60578011)资助课题
关键词
视觉光学
超大色差
物体表面色
视觉评价
色差公式
色貌模型
visual optics
very large colour difference
object surface colour
visual evaluation
colour-difference formula
colour appearance model (CAM)