The Chinese Univeristy of Hong Kong
Abstract
We present a new image editing method, particularly effective for sharpening major edges by increasing the steepness of transitions while eliminating a manageable degree of low-amplitude structures. The seemingly contradictive effect is achieved in an unconventional optimization framework making use of L0 gradient minimization, which can globally control how many non-zero gradients are resulted to approximate prominent structures in a structure-sparsity-management manner. Unlike other edge-preserving smoothing approaches, our method does not depend on local features and 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 image generation.
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"Image
Smoothing via L0 Gradient Minimization" Li Xu, Cewu Lu, Yi Xu, Jiaya Jia ACM Transactions on Graphics, Vol. 30, No. 5 (SIGGRAPH Asia 2011), Dec 2011 ![]() ![]() ![]() ![]() |
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