Superpixel-Guided Adaptive Image Smoothing

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In edge-preserving image smoothing, edge blurriness and structural edge attenuation have been common problems. L-0 smoothing successfully solves these two problems by adopting L-0 norm of gradients. However, a weak structural edge diminishing problem still exists because L-0 penalty first removes small nonzero gradients. In order to address this problem, we propose superpixel-guided adaptive image smoothing by introducing an adaptive parameter into L-0 smoothing framework. The adaptive smoothing parameter is efficiently computed in a cascade manner. In the first stage, we allocate smoothing parameters to the pixels consisting of details. More importantly, we then exploit similarities between a pixel and its surrounding superpixels for assigning smoothing parameters to the rest pixels. Experimental results demonstrate that our proposed method efficiently preserves structural edges regardless of their scales compared to previous methods.
Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Issue Date
2016-12
Language
English
Article Type
Article
Keywords

PHOTOGRAPHY; FLASH

Citation

IEEE SIGNAL PROCESSING LETTERS, v.23, no.12, pp.1887 - 1891

ISSN
1070-9908
DOI
10.1109/LSP.2016.2630741
URI
http://hdl.handle.net/10203/218306
Appears in Collection
EE-Journal Papers(저널논문)
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