NDLI: Adaptive patched L0 gradient minimisation model applied on image smoothing

Content Provider	IET Digital Library
Author	Ni, Kang Wu, Yiquan
Abstract	L0 gradient minimisation model, one of edge-aware image smoothing method, also suffers fromthe stair-casing effect and images with strong textures cannot be smoothed effectively and weak edges or structureswill be smoothed overly. The authors propose a method to overcome these drawbacks above. To begin with, theimage is subjected to non-subsampled shearlet transform to obtain high-frequency component, and combine allhigh-frequency component by maximum local energy rules to obtain the high-frequency decomposition image,afterwards, introducing the data term associated with high-frequency decomposition image to keep the similarityof edge and structure between the input and smoothed image. Secondly, the patched L0 gradient minimisationmodel is presented for improving the description of local information, since different size of the patches has thedifferent texture, exploiting the coefficient of variation to define the size of patch. Finally, defining the adaptivesmoothing coefficient based on the gradient to make sure that the smoothing effect of the patch is optimal. Theproposed model is applied to image smoothing with desirable results successfully, and the comparisons with otherstate-of-the-art edge-preserving image smoothing algorithms demonstrate the great performances ofedge-preserving and texture smoothing.
Starting Page	1892
Ending Page	1902
Page Count	11
ISSN	17519659
Volume Number	12
e-ISSN	17519667
Issue Number	Issue 10, Oct (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/12/10
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2017.1223
Journal	IET Image Processing
Publisher Date	2018-05-24
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Adaptive Patched L0 Gradient Minimisation Model Adaptive Smoothing Coefficient Computer Vision And Image Processing Technique Different Texture Edge Detection Edge-aware Image Smoothing Method Effective Algorithm Gradient Method High-frequency Component High-frequency Decomposition Image Image Image Denoising Image Enhancement Image Fusion Image Texture Maximum Local Energy Rules Minimisation Named Adaptive Optical, Image And Video Signal Processing Patch Smoothing Effect Smoothing Method Stair-casing Effect State-of-the-art Edge-preserving Strong Textures Structure Texture Smoothing Transform Trivial Detail Weak Edge
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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