Abstract
Edge preserving smoothing is a technique to decompose an image into two layers - one smoothing layer and one detail layer. It is an important image editing tool. The edges are preserved in the smoothing layer and details are decomposed into the detail layer. In this paper, we propose a content adaptive L 0 smoothing method. Unlike common smoothing schemes, we use a perceptual based content adaptive weighted fidelity term. The algorithm gives a larger weight to the region with more information, which is most likely edges, and gives a smaller weight to the region with less information, which is most likely a flat area. So the resulting smoothed image can preserve more edges and smooth the smoothing areas better. Experimental results prove that the proposed method can have better results than existing L 0 smoothing method.
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Kou, F., Li, Z., Wen, C., Chen, W., Zhao, C., Wang, J. (2013). Perceptual Based Content Adaptive L 0 Smoothing. In: Huet, B., Ngo, CW., Tang, J., Zhou, ZH., Hauptmann, A.G., Yan, S. (eds) Advances in Multimedia Information Processing – PCM 2013. PCM 2013. Lecture Notes in Computer Science, vol 8294. Springer, Cham. https://doi.org/10.1007/978-3-319-03731-8_28
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DOI: https://doi.org/10.1007/978-3-319-03731-8_28
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-03730-1
Online ISBN: 978-3-319-03731-8
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