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公开(公告)号:US08149455B2
公开(公告)日:2012-04-03
申请号:US12159269
申请日:2007-01-26
申请人: Atsushi Takagi , Daisuke Iwamoto , Junji Ishida
发明人: Atsushi Takagi , Daisuke Iwamoto , Junji Ishida
CPC分类号: G06T3/4007 , H04N1/6033 , H04N1/646
摘要: A units of red {u1-uA}, B units of green {v1-vB} and C units of blue {w1-wC} are sampled and measurements are performed, and an interpolation equation is found from the A×B×C units of data in three-dimensions (L*, a*, b*) that are obtained. Firstly, A units of point sequence data in 3×B×C dimensions are least squares approximated for the parameters u, and Mu control points in 3×B×C dimensions are found. Then, B units of point sequence data in 3×C×Mu dimensions are least squares approximated for the parameters v, and Mv control points in 3×C×Mu dimensions are found. Next, C units of point sequence data in 3×Mu×Mv dimensions are least squares approximated for the parameters w, and Mw control points in 3×Mu×Mv dimensions are found. Then, output values (L*,a*,b*) corresponding to arbitrary input values (Red,Green,Blue) can be obtained by an interpolation equation according to Mu×Mv×Mw final control points in three dimensions and basis functions used in the least squares approximations.
摘要翻译: 采用红色{u1-uA},绿色{v1-vB}的B单位和蓝色{w1-wC}的C单位的单位进行测量,并从A×B×C单位发现插值方程 的三维数据(L *,a *,b *)。 首先,3×B×C维度的A点单元数据对于参数u近似为最小二乘法,并且发现3×B×C维度中的Mu控制点。 然后,3×C×Mu维度中的B单位点序列数据对于参数v近似为最小二乘法,并且发现3×C×Mu维度中的Mv控制点。 接下来,3×Mu×Mv维度中的C单位点序列数据对于参数w近似为最小二乘法,并且发现3×Mu×Mv维度中的Mw控制点。 然后,可以通过三维的基于Mu×Mv×Mw最终控制点的内插方程和使用的基本函数来获得与任意输入值(红色,绿色,蓝色)相对应的输出值(L *,a *,b *) 在最小二乘法近似。
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公开(公告)号:US20100171968A1
公开(公告)日:2010-07-08
申请号:US12159269
申请日:2007-01-26
申请人: Atsushi Takagi , Daisuke Iwamoto , Junji Ishida
发明人: Atsushi Takagi , Daisuke Iwamoto , Junji Ishida
IPC分类号: H04N1/60
CPC分类号: G06T3/4007 , H04N1/6033 , H04N1/646
摘要: A units of red {u1-uA}, B units of green {v1-vB} and C units of blue {w1-wC} are sampled and measurements are performed, and an interpolation equation is found from the A×B×C units of data in three-dimensions (L*, a*, b*) that are obtained. Firstly, A units of point sequence data in 3×B×C dimensions are least squares approximated for the parameters u, and Mu control points in 3×B×C dimensions are found. Then, B units of point sequence data in 3×C×Mu dimensions are least squares approximated for the parameters v, and My control points in 3×C×Mu dimensions are found. Next, C units of point sequence data in 3×Mu×Mv dimensions are least squares approximated for the parameters w, and Mw control points in 3×Mu×Mv dimensions are found. Then, output values (L*,a*,b*) corresponding to arbitrary input values (Red,Green,Blue) can be obtained by an interpolation equation according to Mu×Mv×Mw final control points in three dimensions and basis functions used in the least squares approximations.
摘要翻译: 采用红色{u1-uA},绿色{v1-vB}的B单位和蓝色{w1-wC}的C单位的单位进行测量,并从A×B×C单位发现插值方程 的三维数据(L *,a *,b *)。 首先,3×B×C维度的A点单元数据对于参数u近似为最小二乘法,并且发现3×B×C维度中的Mu控制点。 然后,3×C×Mu维度中的B单位点序列数据对于参数v近似为最小二乘法,并且找到3×C×Mu维度中的我的控制点。 接下来,3×Mu×Mv维度中的C单位点序列数据对于参数w近似为最小二乘法,并且发现3×Mu×Mv维度中的Mw控制点。 然后,可以通过三维的基于Mu×Mv×Mw最终控制点的内插方程和使用的基本函数来获得与任意输入值(红色,绿色,蓝色)相对应的输出值(L *,a *,b *) 在最小二乘法近似。
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