Color fringe correction based on image fusion

This paper proposes an image fusion based method for color fringe correction. Color fringes are frequently observed at high contrast edges, i.e., a brighter image has more color fringe than a darker image. The proposed color fringe correction method fuses pixel values of the normal-exposure image with color fringe and the under-exposure image with no color fringe. First, each of normal- and under-exposure images is transformed using a color difference model. Second, color fringe regions are detected and used for calculating fusion weights. Third, the color difference values are fused with the weights refined by guided filtering. Experimental results show that the proposed fusion-based method preserves better an original color in color fringe regions than existing methods.

[1]  Soo-Chang Pei,et al.  Effective color interpolation in CCD color filter arrays using signal correlation , 2003, IEEE Trans. Circuits Syst. Video Technol..

[2]  Norman Koren,et al.  The Imatest program: comparing cameras with different amounts of sharpening , 2006, Electronic Imaging.

[3]  Woo-Jin Song,et al.  Removing chromatic aberration by digital image processing , 2010 .

[4]  Moon Gi Kang,et al.  Correction of Axial and Lateral Chromatic Aberration With False Color Filtering , 2013, IEEE Transactions on Image Processing.

[5]  Kevin E. Spaulding,et al.  Color processing in digital cameras , 1998, IEEE Micro.

[6]  Hagit Hel-Or,et al.  Digital Image Forgery Detection Based on Lens and Sensor Aberration , 2011, International Journal of Computer Vision.

[7]  Jian Sun,et al.  Guided Image Filtering , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  Shutao Li,et al.  Image Fusion With Guided Filtering , 2013, IEEE Transactions on Image Processing.