Liu Xiaohong, Huang Shujun, Zhang Zonghua, Gao Feng, Jiang Xiangqian
School of Mechanical Engineering, Hebei University of Technology, Tianjin 300130, China.
Centre for Precision Technologies, University of Huddersfield, Huddersfield HD1 3DH, UK.
Sensors (Basel). 2017 May 6;17(5):1048. doi: 10.3390/s17051048.
The refractive index of a lens varies for different wavelengths of light, and thus the same incident light with different wavelengths has different outgoing light. This characteristic of lenses causes images captured by a color camera to display chromatic aberration (CA), which seriously reduces image quality. Based on an analysis of the distribution of CA, a full-field calibration method based on absolute phase maps is proposed in this paper. Red, green, and blue closed sinusoidal fringe patterns are generated, consecutively displayed on an LCD (liquid crystal display), and captured by a color camera from the front viewpoint. The phase information of each color fringe is obtained using a four-step phase-shifting algorithm and optimum fringe number selection method. CA causes the unwrapped phase of the three channels to differ. These pixel deviations can be computed by comparing the unwrapped phase data of the red, blue, and green channels in polar coordinates. CA calibration is accomplished in Cartesian coordinates. The systematic errors introduced by the LCD are analyzed and corrected. Simulated results show the validity of the proposed method and experimental results demonstrate that the proposed full-field calibration method based on absolute phase maps will be useful for practical software-based CA calibration.
透镜的折射率随光的不同波长而变化,因此相同的入射光在不同波长下会产生不同的出射光。透镜的这一特性导致彩色相机拍摄的图像出现色差(CA),这严重降低了图像质量。基于对色差分布的分析,本文提出了一种基于绝对相位图的全场校准方法。生成红色、绿色和蓝色闭合正弦条纹图案,依次显示在液晶显示器(LCD)上,并由彩色相机从正面视角进行拍摄。使用四步相移算法和最佳条纹数选择方法获取每种颜色条纹的相位信息。色差导致三个通道的展开相位不同。这些像素偏差可以通过在极坐标中比较红色、蓝色和绿色通道的展开相位数据来计算。色差校准在笛卡尔坐标中完成。分析并校正了液晶显示器引入的系统误差。模拟结果表明了该方法的有效性,实验结果证明所提出的基于绝对相位图的全场校准方法对于基于软件的实际色差校准将是有用的。