Removing of Metal Highlight Spots Based on Total Variation Inpainting with Multi-sources-flashing

The removing of specular highlight spots has been the hotspot in the field of computer vision. A variety of methods have been designed to remove the specular on the surface of the objects. Unfortunately few paper on removal of (specular) highlight spots on the metal surface have been reported. Since the region of highlight spots on metal surface is much larger than that of non-metal, it is harder to remove them. We propose a novel Inpainting with Multi-Sources-Flashing method to resolve the problem. The outcome of the experiments demonstrate that the light-spots on the surface of the metal objects with complex texture are removed effectively, and the physical property of the surface maintains well. The pyramid structure of our algorithm flow makes the innovation function efficiently.

[1]  Takeo Kanade,et al.  The measurement of highlights in color images , 1988, International Journal of Computer Vision.

[2]  Katsushi Ikeuchi,et al.  Temporal-color space analysis of reflection , 1994 .

[3]  Steven A. Shafer,et al.  Using color to separate reflection components , 1985 .

[4]  Ramesh Raskar,et al.  Non-photorealistic camera: depth edge detection and stylized rendering using multi-flash imaging , 2004, SIGGRAPH 2004.

[5]  Lee E. Weiss,et al.  Specular surface inspection using structured highlight and Gaussian images , 1990, IEEE Trans. Robotics Autom..

[6]  Tony F. Chan,et al.  Mathematical Models for Local Nontexture Inpaintings , 2002, SIAM J. Appl. Math..

[7]  Terrance E. Boult,et al.  Constraining Object Features Using a Polarization Reflectance Model , 1991, IEEE Trans. Pattern Anal. Mach. Intell..

[8]  Shree K. Nayar,et al.  Separation of Reflection Components Using Color and Polarization , 1997, International Journal of Computer Vision.

[9]  Olga Veksler,et al.  Fast Approximate Energy Minimization via Graph Cuts , 2001, IEEE Trans. Pattern Anal. Mach. Intell..

[10]  Stephen Lin,et al.  Separation of diffuse and specular reflection in color images , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.