A method and results of color calibration for the Chang'e-3 terrain camera and panoramic camera

The terrain camera (TCAM) and panoramic camera (PCAM) are two of the major scientific payloads installed on the lander and rover of the Chang'e 3 mission respectively. They both use a Bayer color filter array covering CMOS sensor to capture color images of the Moon's surface. RGB values of the original images are related to these two kinds of cameras. There is an obvious color difference compared with human visual perception. This paper follows standards published by the International Commission on Illumination to establish a color correction model, designs the ground calibration experiment and obtains the color correction coefficient. The image quality has been significantly improved and there is no obvious color difference in the corrected images. Ground experimental results show that: (1) Compared with uncorrected images, the average color difference of TCAM is 4.30, which has been reduced by 62.1%. (2) The average color differences of the left and right cameras in PCAM are 4.14 and 4.16, which have been reduced by 68.3% and 67.6% respectively.

[1]  Wei Zuo,et al.  Analysis of the geomorphology surrounding the Chang'e-3 landing site , 2014 .

[2]  Yves Vander Haeghen,et al.  An imaging system with calibrated color image acquisition for use in dermatology , 2000, IEEE Transactions on Medical Imaging.

[3]  Jui-Chin Jiang,et al.  2008 ISECS International Colloquium on Computing, Communication, Control, and Management CCCM 2008 , 2008 .

[4]  H. Levine Medical Imaging , 2010, Annals of Biomedical Engineering.

[5]  Wanqing Li,et al.  Novel color processing architecture for digital cameras with CMOS image sensors , 2005, IEEE Transactions on Consumer Electronics.

[6]  Reg G. Willson,et al.  Curiosity’s Mars Hand Lens Imager (MAHLI) Investigation , 2012 .

[7]  T.S. Perry,et al.  Consumer electronics , 1990, IEEE Spectrum.

[8]  W.E. Snyder,et al.  Color image processing pipeline , 2005, IEEE Signal Processing Magazine.

[9]  Robert W. G. Hunt,et al.  Measuring Colour: Hunt/Measuring Colour , 2011 .

[10]  Raimondo Schettini,et al.  A New Method for RGB to XYZ Transformation Based on Pattern Search Optimization , 2007, IEEE Transactions on Consumer Electronics.

[11]  Patrick Jackman,et al.  Robust colour calibration of an imaging system using a colour space transform and advanced regression modelling. , 2012, Meat science.

[12]  Stan Z. Li,et al.  Learning multiview face subspaces and facial pose estimation using independent component analysis , 2005, IEEE Transactions on Image Processing.

[13]  Gaurav Sharma Digital Color Imaging Handbook , 2002 .

[14]  Da-Wen Sun,et al.  Colour calibration of a laboratory computer vision system for quality evaluation of pre-sliced hams. , 2009, Meat science.

[15]  W. Ip,et al.  Preface: The Chang'e-3 lander and rover mission to the Moon , 2014 .

[16]  Wen-Chung Kao,et al.  Design considerations of color image processing pipeline for digital cameras , 2006, IEEE Transactions on Consumer Electronics.