Image steganography in spatial domain: A survey

Hussain, Mehdi and Wahab, Ainuddin Wahid Abdul and Idris, Mohd Yamani Idna and Ho, Anthony Tung Shuen and Jung, Ki-Hyun (2018) Image steganography in spatial domain: A survey. Signal Processing: Image Communication, 65. pp. 46-66. ISSN 0923-5965, DOI

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This paper presents a literature review of image steganography techniques in the spatial domain for last 5 years. The research community has already done lots of noteworthy research in image steganography. Even though it is interesting to highlight that the existing embedding techniques may not be perfect, the objective of this paper is to provide a comprehensive survey and to highlight the pros and cons of existing up-to-date techniques for researchers that are involved in the designing of image steganographic system. In this article, the general structure of the steganographic system and classifications of image steganographic techniques with its properties in spatial domain are exploited. Furthermore, different performance matrices and steganalysis detection attacks are also discussed. The paper concludes with recommendations and good practices drawn from the reviewed techniques.

Item Type: Article
Funders: National University of Science and Technology , Islamabad, Pakistan under faculty development program abroad (grant number 0972/F008/HRD/FDP-14/ ), Ministry of Education, Malaysia under the University of Malaya (High Impact Research Grant UM.C/625/1/HIR/MoE/FCSIT/17), Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (No. 2015R1D1A1A01058019)
Uncontrolled Keywords: Image steganography; Spatial domain steganography; Adaptive steganography; Data hiding; Security; Digital spatial domain
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Computer Science & Information Technology
Depositing User: Ms. Juhaida Abd Rahim
Date Deposited: 07 Aug 2019 02:57
Last Modified: 07 Aug 2019 02:57

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