Reversible data embedding using a difference expansion

By Jun Tian. IEEE Trans. Circuits Syst. Video Technol., 2003

3,290 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition

View Paper: https://www.semanticscholar.org/paper/caaae38c41b38c001b980cc7433e95c2682e26f8

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

1. Xiaolong Li
2. Bin Yang
3. Weiming Zhang
4. Dinu Coltuc
5. Xinpeng Zhang
6. Y. Shi
7. Pauline Puteaux
8. William Puech

Citations in the corpus

• Reversibility improved data hiding in encrypted images (2014, methodology): “Until now, many RDH techniques have been proposed based on three fundamental strategies: lossless compression-appending scheme [1,2], difference expansion (DE) [3,4] and histogram shift (HS) [5].”
• DE-Based Reversible Data Hiding With Improved Overflow Location Map (2009, methodology): “We compare our method with Tian's DE method in [8], Kamstra et al.'s Extended DE method in [10], and Thodi et al.'s P2 method in [21].”
• An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images (2018, methodology): “Methods are based on lossless compression appending, difference expansion [23], [24], histogram shifting [5], [15], [22] or a combination of these schemes [16], [21].”
• Very Fast Watermarking by Reversible Contrast Mapping (2007, methodology): “The RCM scheme works directly in the spatial domain, while Tian’s scheme works in the transformed domain.”
• A Novel Difference Expansion Transform for Reversible Data Embedding (2008, methodology): “Assume that we have an 8-b grayscale value pair , where and .”
• Local-Prediction-Based Difference Expansion Reversible Watermarking (2014, background): “Introduced by Tian, [9], DE expands two times the difference between adjacent pairs of pixels.”
• Reversible Data Hiding in Encrypted Image (2011, background): “A number of reversible data hiding methods have been proposed in recent years.”
• A Novel Reversible Data Hiding Scheme Based on Two-Dimensional Difference-Histogram Modification (2013, methodology): “It outperforms some classical RDH methods such as [12] and [16].”
• Pairwise Prediction-Error Expansion for Efficient Reversible Data Hiding (2013, background): “, compression based algorithms [7]–[11], difference expansion (DE) based algorithms [12]–[16], histogram shifting (HS) based algorithms [17]–[19], prediction-error expansion (PEE) based algorithms [20]–[34] and integer-to-integer transform based algorithms [35]–[41], etc.”
• Efficient Reversible Data Hiding Based on Multiple Histograms Modification (2015, methodology): “The expansion technique is firstly proposed by Tian [17].”
• Lossless generalized-LSB data embedding (2005, methodology): “This technique had been proposed in [12] and later used in [10], [11], [13] successfully.”
• Multilevel reversible data hiding based on histogram modification of difference images (2008, methodology): “Comparison of hiding capacity in bpp versus image quality in PSNR with existing reversible schemes: G-LSB scheme [16], DE [12], Ni et al.”
• Efficient Reversible Watermarking Based on Adaptive Prediction-Error Expansion and Pixel Selection (2011, methodology): “Wang et al. 's method [28] generalizes Tian's DE algorithm [12] from the viewpoint of integer transform.”
• Reversible data hiding: Advances in the past two decades (2016, methodology): “, considering difference values [26] or prediction-errors [36], or utilizing IWT [66]) is more appropriate for performance”
• Reversible data hiding (2003, methodology): “Tian presented a promising high capacity reversible data embedding algorithm in [15].”
• Reversible Image Watermarking Based on Integer-to-Integer Wavelet Transform (2007, methodology): “Tian applied an integer Haar wavelet transform to an image and embedded the watermark into high-frequency coefficients by difference expansion (DE) [4].”
• Improved Embedding for Prediction-Based Reversible Watermarking (2011, background): “In [16], prediction error-expansion is used in connection with a location map as in the basic Tian's DE.”