High capacity image steganographic model

By Yeuan-Kuen Lee, Ling-Hwei Chen. 2000

504 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/822bd0d4223ab7360b1466353d092da40427ab5e

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In Computer Vision and Pattern Recognition

1. Wei-Liang Tai
2. Chia-Chen Lin
3. Chun-Sen Tseng
4. Shiuh-Jeng Wang
5. Martin S. Olivier
6. Cheng-Hsing Yang
7. Hung-Min Sun
8. Chi-Yao Weng

Citations in the corpus

• Reversible hiding in DCT-based compressed images (2007, methodology): “Basically, hiding the subjects of steganographies involves the spatial [1,3,5,14,15,17,19] and frequency [2,12,13] domains of host images.”
• Adaptive Data Hiding in Edge Areas of Images With Spatial LSB Domain Systems (2008, methodology): “Steganographic methods [3]–[ 8 ] overcome this problem by hiding the secret information behind a cover, and the result does not attract any special attention.”
• An overview of image steganography (2005, background): “Image – also known as spatial – domain techniques embed messages in the intensity of the pixels directly, while for transform – also known as frequency – domain, images are first transformed and then the message is embedded in the image [20].”