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Coverless image steganography offers a secure way to encode messages without altering the original image, making it extremely difficult to detect. This study presents an enhanced steganographic approach that utilizes Scale-Invariant Feature Transform (SIFT), Oriented FAST, and Rotated BRIEF (ORB) for feature extraction, aiming to boost both resilience and capacity. The proposed method enhances resistance to image processing attacks while preserving message integrity by leveraging SIFT’s scale invariance alongside ORB’s computational efficiency. Comprehensive experimental results demonstrate the effectiveness of this approach across various datasets.

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Enhancing Coverless Image Steganography with Combined SIFT and ORB Features

  • 会议论文

  • 发表日期：

    2026年

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  • Kusagra Raj,
  • Himanshu,
  • Mrinal Das,
  • Abhisek Kumar Sharma,
  • Supriya Panigrahy,
  • Siba Mishra

摘要

Coverless image steganography offers a secure way to encode messages without altering the original image, making it extremely difficult to detect. This study presents an enhanced steganographic approach that utilizes Scale-Invariant Feature Transform (SIFT), Oriented FAST, and Rotated BRIEF (ORB) for feature extraction, aiming to boost both resilience and capacity. The proposed method enhances resistance to image processing attacks while preserving message integrity by leveraging SIFT’s scale invariance alongside ORB’s computational efficiency. Comprehensive experimental results demonstrate the effectiveness of this approach across various datasets.