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An Optimal Least Significant Bit Based Image Steganography Algorithm

Published: 10 July 2014 Publication History

Abstract

In this paper, we propose an effective Least Significant Bit (LSB) based steganography algorithm. The new algorithm is based on the classic K-means algorithm. We split bits of a secret message into clusters so that clusters of bits can be assigned to replace the LSB of each pixel of a cover image. To successfully use K-means we define a function to calculate the distance between the bits and the clusters. Bits can be moved among neighboring clusters based on the distance to the centroids of clusters. Since the classic K-means algorithm converges to an optimum, our approach leads to an optimized stego-image, compared to results of other LSB based approaches. Real test cases show that this approach can hide 60% of the size of the cover image without any noticeable visual artifacts.

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      ICIMCS '14: Proceedings of International Conference on Internet Multimedia Computing and Service
      July 2014
      430 pages
      ISBN:9781450328104
      DOI:10.1145/2632856
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      • NSF of China: National Natural Science Foundation of China
      • Beijing ACM SIGMM Chapter

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 10 July 2014

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      Author Tags

      1. Image
      2. K-means
      3. capacity
      4. steganography

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