Image Smoothing via Truncated Total Variation
We present a new regularizer for image smoothing which is particularly effective for diminishing insignificant details, while preserving salient edges. The proposed regularizer relates in spirit to total variation which penalizes all the gradients, while our method just penalizes part of the gradien...
Main Authors: | Zeyang Dou, Mengnan Song, Kun Gao, Zeqiang Jiang |
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Format: | Article |
Language: | English |
Published: |
IEEE
2017-01-01
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Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8110618/ |
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