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...

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Bibliographic Details
Main Authors: Zeyang Dou, Mengnan Song, Kun Gao, Zeqiang Jiang
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8110618/