【摘要】 建立摄像机的色度模型 ,减少用于色空间转换所需要的样本数 .为了预测某一颜色的摄像机输出的RGB值 ,需要一个预先基于光谱反射率关系的转换 .转换后的颜色坐标作为神经网络的输入 ,根据神经网络的输出就能得到预测的RGB值 .给出了一些预测结果用于说明该方法的特性 ,虽然用较少的样本 ,该方法用于色空间转换仍能获得满意的转换精度更多还原

【Abstract】 To decrease number of samples for the implementation of color space transformation, a method for modeling the chromatic characterization of video cameras was proposed. An additional transformation was required to predict output RGB values for an input color. This additional transformation was based on spectral reflectance relationship. The transformed color coordinates were taken as inputs of a multilayer neural network. Based on network outputs, the RGB values to be predicted were calculated. Experimental results were given to illustrate the performance of the method. Even though much less number of training samples are used, this method can also perform well on this color space transformation.更多还原