【摘要】 智能相机在获取图像时,由于成像条件的限制,容易导致彩色图像的颜色与物体本身的颜色偏差较大;为了减少两者的偏差,提高颜色的还原性,文中提出了一种新的颜色校正方法。该方法先在RGB颜色空间中以最小二乘法求出最逼近的Color Matrix,再在L~*ab颜色空间中对其进行优化。通过该方法获得的颜色矩阵,改进了在RGB空间中以穷举方式逼近目标值的方式。为验证新算法的有效性,以标准D65光源为照明光源,Color Check24色卡/ColorCheck+Vectorscope为实验对象,来衡量校正结果。实验结果表明,色块区域使用新方法后的色彩均衡效果优于传统的颜色矩阵计算方法。更多还原

【Abstract】 0 The color of the color image and the object itself tends to deviate greatly when the image is acquired by the smart camera,due to the limitation of imaging conditions.In this paper,a new color correction method was proposed to reduce the deviation and improve the color reducibility.In this method,the most approximate Color Matrix is obtained by least square method in RGB color space,and then optimized in L*ab Color space.The color matrix obtained by this method improves the method of approximating the target value by exhaustive method in RGB space.In order to verify the effectiveness of the new algorithm,the standard D65 light source is used as the lighting source,Color Check24/ColorCheck+Vectorscope is used as the experimental object and the measurement correction result was obtained.Comparison experiments show that the color balance effect of the new method is better than that of the traditional color matrix calculation method.更多还原