Image smoothing via<i>L</i><sub>0</sub>gradient minimization

Xu Li(Chinese University of Hong Kong), Cewu Lu(Chinese University of Hong Kong), Yi Xu(Chinese University of Hong Kong), Jiaya Jia(Chinese University of Hong Kong)
ACM Transactions on Graphics
November 30, 2011
Cited by 775

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 L 0 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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