Multilevel reversible data hiding based on histogram modification of difference images
By Chia-Chen Lin, Wei-Liang Tai, Chin-chen Chang. Pattern Recognition, 2008
387 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/053237a74e71b8d518d0b92d2cd67b78e507ccef
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
Citations in the corpus
- Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, background): “The histogram of a pixel based image feature (graylevel [3], pixel difference [4], prediction error [5], interpolation error [6]) is considered.”
- Current status and key issues in image steganography: A survey (2014, methodology): “Some of them include Adaptive LSB substitution based on brightness, edges and texture masking of the host image to estimate the number k of LSBs for data hiding [19], loss less generalized LSB data embedding [20], optimized LSB substitution using cat swarm strategy and genetic algorithm [21,22], dat”
- Improved Embedding for Prediction-Based Reversible Watermarking (2011, background): “The proposed optimization does not apply to difference (or prediction error) histogram shifting schemes as [4]–[10], etc.”