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author:

Li, Jun (Li, Jun.) [1] | Han, Yuxuan (Han, Yuxuan.) [2] | Gao, Yin (Gao, Yin.) [3] | Li, Qiming (Li, Qiming.) [4] | Wang, Sumei (Wang, Sumei.) [5]

Indexed by:

EI Scopus SCIE

Abstract:

In image processing, edge-preserving image smoothing methods that maintain weak structure while smoothing multiscale textures with strong gradients remain challenging. In this paper, a new global optimization method named Enhance Relative Total Variation Embedded with Bilateral Filtering is proposed. The texture and structure are intuitively considered separately from the model generalization. First, the weak structures are separated from the over-penalized texture and structure items by embedding bilateral filtering. Then, the in-set shrinking edges/structures are gradually recovered by constructing a contrast stretching function. In comparison to current state-of-the-art methods, experimental results demonstrate that the method is effective in maintaining weak structures and suppressing multiscale textures.

Keyword:

Deep learning edge in-set phenomenon Edge/structure-preserving Electronic mail Filtering theory Image edge detection image smoothing Optimization methods Smoothing methods Task analysis texture filtering weak structure

Community:

  • [ 1 ] [Li, Jun]Chinese Acad Sci, Quanzhou Inst Equipment Mfg, Fujian Sci & Technol Innovat Lab Optoelect Informa, Quanzhou 362200, Peoples R China
  • [ 2 ] [Han, Yuxuan]Fuzhou Univ, Sch Adv Mfg, Dept Elect Informat, Quanzhou 350002, Peoples R China
  • [ 3 ] [Han, Yuxuan]Chinese Acad Sci, Quanzhou Inst Equipment Mfg, Quanzhou 362200, Peoples R China
  • [ 4 ] [Gao, Yin]Univ Chinese Acad Sci, Fujian Inst Res Struct Matter, Beijing 101408, Peoples R China
  • [ 5 ] [Li, Qiming]Chinese Acad Sci, Quanzhou Inst Equipment Mfg, Quanzhou 362200, Peoples R China
  • [ 6 ] [Wang, Sumei]Hong Kong Polytech Univ, Dept Civil & Environm Engn, Hong Kong, Peoples R China
  • [ 7 ] [Wang, Sumei]Natl Rail Transit Electrificat & Automation Engn T, Hong Kong Branch, Hong Kong, Peoples R China

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Source :

IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY

ISSN: 1051-8215

Year: 2023

Issue: 10

Volume: 33

Page: 5420-5432

8 . 3

JCR@2023

8 . 3 0 0

JCR@2023

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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