DESCRIPTION:
SIGGRAPH Asia 2015 paper on temporal consistency

Abstract
Extending image processing techniques to videos is a non-trivial
task; applying processing independently to each video frame often
leads to temporal inconsistencies, and explicitly encoding temporal consistency requires algorithmic changes. We describe a more general approach to temporal consistency. We propose a gradient domain technique that is blind to the particular image processing algorithm. Our technique takes a series of processed frames that suffers from flickering and generates a temporally-consistent video sequence. The core of our solution is to infer the temporal regularity from the original unprocessed video, and use it as a temporal consistency guide to stabilize the processed sequence. We formally characterize the frequency properties of our technique, and demonstrate, in practice, its ability to stabilize a wide range of popular
image processing techniques including enhancement and stylization
of color and tone, intrinsic images, and depth estimation.