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author:

Lin, Y. (Lin, Y..) [1] | Lin, J. (Lin, J..) [2] | Niu, Y. (Niu, Y..) [3] | Zhang, H. (Zhang, H..) [4]

Indexed by:

Scopus

Abstract:

With the diversified development of the digital devices, such as computer, mobile phone and television, how to resize an image or video to adapt to different display screens has been a heated topic. Seam carving does well in image resizing at most times, however, it sometimes produces discontinuity image content or impaired salient objects. Therefore, we propose an accumulative energy-based seam carving method for image resizing. We distribute the energy of each pixel on the seam to its adjacent 8-connected pixels to avoid the extreme concentration of seams. In addition, we add the image saliency and the edge information into the energy function to reduce the distortion. To compute more efficiently, we use parallel computing environment as well. Experimental results show that compared with the existing methods, our method can both avoid the discontinuity of image content and distortions as well as better maintain the shape of the salient objects. © 2020 Inderscience Enterprises Ltd.

Keyword:

Accumulative energy; Edge detection; Image resizing; Optimal seam; Saliency detection; Seam carving

Community:

  • [ 1 ] [Lin, Y.]College of Mathematics and Computer Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing
  • [ 2 ] [Lin, Y.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Xueyuan Road #2, Fuzhou, Fujian, 350106, China
  • [ 3 ] [Lin, J.]College of Mathematics and Computer Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing
  • [ 4 ] [Lin, J.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Xueyuan Road #2, Fuzhou, Fujian, 350106, China
  • [ 5 ] [Niu, Y.]College of Mathematics and Computer Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing
  • [ 6 ] [Niu, Y.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Xueyuan Road #2, Fuzhou, Fujian, 350106, China
  • [ 7 ] [Zhang, H.]College of Mathematics and Computer Science, Fujian Key Laboratory of Network Computing and Intelligent Information Processing
  • [ 8 ] [Zhang, H.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Xueyuan Road #2, Fuzhou, Fujian, 350106, China

Reprint 's Address:

  • [Lin, J.]Key Laboratory of Spatial Data Mining and Information Sharing, Ministry of Education, Fuzhou University, Xueyuan Road #2, China

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Source :

International Journal of Computational Science and Engineering

ISSN: 1742-7185

Year: 2020

Issue: 2-3

Volume: 22

Page: 190-199

Language: English

1 . 4 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 1

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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