电子学报2012，Vol.40Issue(1)：179-183,5.DOI:10.3969/j.issn.0372-2112.2012.01.029
基于图像导数框架和非负稀疏编码的颜色恒常计算方法
Color Constancy Based on Image Derivative Framework and Non-negative Sparse Coding
摘要
Abstract
By imitating the function of receptive fields of the primary visual cortical neurons, we proposed a color-constancy model that combines the ideas of image derivative framework and non-negative sparse coding. From the standpoint of image processing, statistical measures showed that the color compensation ability of the proposed model can be comparable to the current best technical methods. In the view of computational neuroscience,our results also provide support for the notion that primary visual cortex plays critical role on the capacity of color constancy.关键词
颜色恒常/导数框架/非负稀疏编码/初级视皮层/感受野Key words
color constancy/derivative framework/non-negative sparse coding/primary visual cortex/receptive field分类
信息技术与安全科学引用本文复制引用
杜馨瑜,李永杰,尧德中,李朝义..基于图像导数框架和非负稀疏编码的颜色恒常计算方法[J].电子学报,2012,40(1):179-183,5.基金项目
国家973重点基础研究发展计划(No.2007CB311001) （No.2007CB311001）
国家自然科学基金(No.30730036,No.31070881,No.90820301,No.61075109) （No.30730036,No.31070881,No.90820301,No.61075109）
教育部新世纪优秀人才支持计划(No.NCET-07-0151) （No.NCET-07-0151）
