Description
Lens flares can often make an otherwise perfect picture unusable.
This is especially true with smartphone cameras that show annoying lens artifacts when there is a bright source of light (in sunset shots for instance) because of their poor antireflective coating.
Here, we automatically detect those lens artifacts and restore the damaged area in order to recover a beautiful picture.
Flare Detection and Removal
Results
References :
[1] usan Psotny, Removing lens are from digital photographs, Charles University in Prague, Diploma Thesis
[2] ndreas Nussberger, Helmut Grabner, Luc Van Gool, Robust Aerial Object Tracking in Images with Lens Flare, Comput. Vision Lab., ETH Zurich
[3] arcelo Bertalmo, Vicent Caselles, Simon Masnou, Guillermo Sapiro, Inpainting
[4] ajul Suthar, Mr. Krunal R. Patel, A Survey on Various Image Inpainting Techniques to Restore Image, Int. Journal of Engineering Research and Applications
[5] atya Mallick Blob Detection Using OpenCV, learnopencv.com
[6] ony F. Chan, Jianhong Shen Mathematical Models for Local Nontexture Inpaintings SIAM Journal on Applied Mathematics, Vol. 62, No. 3
[7] ony F. Chan, Jianhong Shen, Non-Texture Inpainting by Curvature-Driven-Discusions, Visual Comm Image Rep 06/2001
[8] iansheng Liu, Mingming Li, Fangfang He Region Filling and Object Removal by Exemplar-Based Image Inpainting, IEEE Transactions on Image Processing, Vol. 13, No. 9, 2004
[9] uzuki, S. and Abe, K., Topological Structural Analysis of Digitized Binary Images by Border Following CVGIP 30 1, pp 32-46, 1985
Automated aerodynamic performance estimates for flapping flight
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