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Image Smoothing via L0 Gradient Minimization

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Published on Sep 20, 2011

Accompanying video for the paper "Image Smoothing via L0 Gradient Minimization" by Li Xu, Cewu Lu, Yi Yu and Jiaya Jia, to appear at SIGGRAPH Asia 2011.

Abstract:
We present a new image editing method, particularly effective for
sharpening major edges by increasing the steepness of transition
while eliminating a manageable degree of low-amplitude structures.
The seemingly contradictive effect is achieved in an optimization
framework making use of L0 gradient minimization, which can
globally control how many non-zero gradients are resulted in to
approximate prominent structure in a sparsity-control manner. Unlike
other edge-preserving smoothing approaches, our method does
not depend on local features, but instead globally locates important
edges. It, as a fundamental tool, finds many applications and
is particularly beneficial to edge extraction, clip-art JPEG artifact
removal, and non-photorealistic effect generation.

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