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Image Watermarking Using Least Significant Bit and Canny Edge Detection.

Zaid Bin Faheem1, Abid Ishaq1, Furqan Rustam2

  • 1Department of Computer Science & Information Technology, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan.

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This study introduces a secure digital image watermarking technique using least significant bit (LSB) and canny edge detection. The method enhances data authenticity and robustness against various attacks, offering efficient security.

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Area of Science:

  • Computer Science
  • Information Security
  • Digital Forensics

Background:

  • Digital data security is a growing concern due to ease of data theft and duplication.
  • Authenticity, integrity, and privacy of digital information are critical challenges in the digital age.
  • Cryptography and digital image watermarking offer solutions for securing digital data.

Purpose of the Study:

  • To propose a novel digital image watermarking technique for enhanced data security.
  • To improve the robustness and computational efficiency of watermarking methods.
  • To secure digital images against unauthorized access and manipulation.

Main Methods:

  • Employs least significant bit (LSB) steganography combined with canny edge detection.
  • Divides digital images into non-overlapping blocks to calculate gradient direction and magnitude.
  • Embeds watermarks in suitable locations identified by edge detection and scrambles the watermark using a chaotic substitution box.

Main Results:

  • The proposed method demonstrates high payload capacity and security through LSB embedding after canny edge detection.
  • Watermark embedding is optimized by utilizing gradient information from edge detection.
  • The technique shows significant robustness against various image processing and geometrical attacks.

Conclusions:

  • The developed digital image watermarking technique offers a secure and computationally efficient solution.
  • The combination of LSB and canny edge detection enhances watermark security and robustness.
  • The method effectively safeguards digital image authenticity and integrity in the face of modern security threats.