  We present a deep network to recover pixel values lost to clipping. The
clipped area of the image is typically a uniform area of minimum or maximum
brightness, losing image detail and color fidelity. The degree to which the
clipping is visually noticeable depends on the amount by which values were
clipped, and the extent of the clipped area. Clipping may occur in any (or all)
of the pixel's color channels. Although clipped pixels are common and occur to
some degree in almost every image we tested, current automatic solutions have
only partial success in repairing clipped pixels and work only in limited cases
such as only with overexposure (not under-exposure) and when some of the color
channels are not clipped. Using neural networks and their ability to model
natural images allows our neural network, DeclipNet, to reconstruct data in
clipped regions producing state of the art results.
