Learning color appearance models

被引：0
|
作者：
Boldrin, E [1 ]
Campadelli, P [1 ]
Schettini, R [1 ]
机构：
[1] Natl Res Council, ITIM, Milan, Italy
来源：
FIFTH COLOR IMAGING CONFERENCE: COLOR SCIENCE, SYSTEMS, AND APPLICATIONS | 1997年
关键词：
D O I：
暂无
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
We present a method for faithfully approximating the Hunt94, LLAB and RLAB color appearance models by means of feed-forward neural networks trained with the error back-propagation algorithm. In particular we present experimental evidence that in eight "standard" viewing conditions the same network architecture is capable of learning quite satisfactorily the transformations performed by the three models.
引用
收藏
页码：173 / 176
页数：4
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