Raindrops adhered to a windscreen or window glass can
significantly degrade the visibility of a scene. Detecting and
removing raindrops will, therefore, benefit many computer
vision applications, particularly outdoor surveillance systems
and intelligent vehicle systems. In this paper, a method
that automatically detects and removes adherent raindrops
is introduced. The core idea is to exploit the local spatiotemporal
derivatives of raindrops. First, it detects raindrops
based on the motion and the intensity temporal derivatives
of the input video. Second, relying on an analysis that
some areas of a raindrop completely occludes the scene,
yet the remaining areas occludes only partially, the method
removes the two types of areas separately.
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