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author:

Li, J. (Li, J..) [1] | Han, Y. (Han, Y..) [2] | Gao, Y. (Gao, Y..) [3] | Li, Q. (Li, Q..) [4] | Wang, S. (Wang, S..) [5]

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Scopus

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. IEEE

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, J.]Fujian Science and Technology Innovation Laboratory for Optoelectronic Information of China, Quanzhou Institute of Equipment Manufacturing Chinese Academy of Sciences, China
  • [ 2 ] [Li, J.]Quanzhou Institute of Equipment Manufacturing Chinese Academy of Sciences, China
  • [ 3 ] [Han, Y.]Fuzhou University, and Quanzhou Institute of Equipment Manufacturing Chinese Academy of Sciences, China
  • [ 4 ] [Han, Y.]Quanzhou Institute of Equipment Manufacturing Chinese Academy of Sciences, China
  • [ 5 ] [Gao, Y.]Fujian Institute of Research on the Structure of Matter, University of Chinese Academy of Sciences, China
  • [ 6 ] [Li, Q.]Quanzhou Institute of Equipment Manufacturing Chinese Academy of Sciences, China
  • [ 7 ] [Wang, S.]Department of Civil and Environmental Engineering, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong SAR, 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: 1-1

8 . 3

JCR@2023

8 . 3 0 0

JCR@2023

ESI HC Threshold:35

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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