Adaptive patched L0 gradient minimisation model applied on image smoothing

• DOI: 10.1049/iet-ipr.2017.1223
• Publication Date: 2018-05-25T02:45:51Z
• Authors: Kang Ni; Yiquan Wu
• Keywords: Minimisation (clinical trials); Smoothing

L0 gradient minimisation model, one of edge‐aware image smoothing method, also suffers from the stair‐casing effect and images with strong textures cannot be smoothed effectively weak edges or structures will overly. The authors propose a method to overcome these drawbacks above. To begin with, is subjected non‐subsampled shearlet transform obtain high‐frequency component, combine all component by maximum local energy rules decomposition image, afterwards, introducing data term associated keep similarity edge structure between input image. Secondly, patched model presented for improving description information, since different size patches has texture, exploiting coefficient variation define patch. Finally, defining adaptive based on make sure that patch optimal. proposed applied desirable results successfully, comparisons other state‐of‐the‐art edge‐preserving algorithms demonstrate great performances texture smoothing.