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Edge Detection and Huffman Encoding Based Image Steganography with High Data Embedding Capacity

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Computational Intelligence in Data Science (ICCIDS 2023)

Part of the book series: IFIP Advances in Information and Communication Technology ((IFIPAICT,volume 673))

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Abstract

In the present study, an edge detector and Huffman encoding based image-steganography approach for high data embedding capacity is presented. High frequency pixel region is exploited to preserve the imperceptibility characteristics of the stego-image and cover-image. Confidential data is encoded with Huffman encoding based technique. Finally, 2n correction is applied to maintain the visual quality. A security key enhances the robustness of embedding and extraction process of the confidential message. The proficiency of the method is also collated with already proposed techniques with various evaluation parameters.

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Author information

Authors and Affiliations

  1. Department of Electronics and Communication Engineering, Guru Nanak Dev University, Regional Campus, Jalandhar, India

    Butta Singh, Rajwinder Kaur, Manjit Singh & Himali Sarangal

  2. Department of CET, Guru Nanak Dev University, Amritsar, India

    Satveer Kour

Authors
  1. Butta Singh
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  2. Rajwinder Kaur
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  3. Manjit Singh
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  4. Himali Sarangal
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  5. Satveer Kour
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Corresponding author

Correspondence to Butta Singh .

Editor information

Editors and Affiliations

  1. Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

    Sarath Chandran K R

  2. Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

    Sujaudeen N

  3. Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

    Beulah A

  4. Sri Sivasubramaniya Nadar College of Engineering, Chennai, India

    Shahul Hamead H

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Singh, B., Kaur, R., Singh, M., Sarangal, H., Kour, S. (2023). Edge Detection and Huffman Encoding Based Image Steganography with High Data Embedding Capacity. In: Chandran K R, S., N, S., A, B., Hamead H, S. (eds) Computational Intelligence in Data Science. ICCIDS 2023. IFIP Advances in Information and Communication Technology, vol 673. Springer, Cham. https://doi.org/10.1007/978-3-031-38296-3_3

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  • DOI: https://doi.org/10.1007/978-3-031-38296-3_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-38295-6

  • Online ISBN: 978-3-031-38296-3

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