  The appearance of an object is significantly affected by the illumination
conditions in the environment. This is more evident with strong reflective
objects as they suffer from more dominant specular reflections, causing
information loss and discontinuity in the image domain. In this paper, we
present a novel framework for specular-free video recovery with special
emphasis on dealing with complex motions coming from objects or camera. Our
solution is a twostep approach that allows for both detection and restoration
of the damaged regions on video data. We first propose a spatially adaptive
detection term that searches for the damage areas. We then introduce a
variational solution for specular-free video recovery that allows exploiting
spatio-temporal correlations by representing prior data in a low-rank form. We
demonstrate that our solution prevents major drawbacks of existing approaches
while improving the performance in both detection accuracy and inpainting
quality. Finally, we show that our approach can be applied to other problems
such as object removal.
