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Author:

Zhang, Pei (Zhang, Pei.) | Zhuo, Li (Zhuo, Li.) | Zhao, Yingdi (Zhao, Yingdi.) | Cheng, Bo (Cheng, Bo.) | Zhang, Jing (Zhang, Jing.) | Song, Xiaoqin (Song, Xiaoqin.)

Indexed by:

EI Scopus

Abstract:

Currently, the image retrieval methods focus on improving the retrieval performance, but ignoring preserving the problem of preserving privacy. Images contain a great deal of personal privacy information, and leakage of information will result in seriously negative effect. Ensuring the image retrieval performance while preserving the confidentiality of data has become the key issue in the field of image retrieval. Based on the Content-based Image Retrieval (CBIR), we propose a secure image retrieval scheme in the encrypted domain, where the encrypted features can be used in similarity comparison directly. This paper compares the ciphertext retrieval with plaintext retrieval to illustrate that the proposed scheme could achieve the comparable retrieval performance, while ensuring the image information security at the same time.

Keyword:

Security of data Cryptography Image enhancement Content based retrieval Computer vision

Author Community:

  • [ 1 ] [Zhang, Pei]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 2 ] [Zhuo, Li]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 3 ] [Zhao, Yingdi]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 4 ] [Cheng, Bo]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 5 ] [Zhang, Jing]Signal and Information Processing Laboratory, Beijing University of Technology, Beijing, China
  • [ 6 ] [Song, Xiaoqin]College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China

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Year: 2013

Volume: 1

Page: 783-787

Language: English

Cited Count:

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ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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