Embedding capacity raising in reversible data hiding based on prediction of difference expansion

Reversible Data Hiding Scheme Based on 3-Least Significant Bits and Mix Column Transform

“…p p y g g g g • On the other hand, when comparing the proposed scheme with its alternative methods that used grayscale images in their experiments as presented in [10] ith SecureC scale images in their experiments as presented in [10] and [19], our proposed method exceeds those in terms of invisibility as shown the following …”

Robust Lossless Data Hiding by Feature-Based Bit Embedding Algorithm

“…For comparison, three outstanding approaches: Wu et al's scheme (Wu et al 2009), Lee et al's algorithm (Lee et al, 2010), and Yang & Tsai's technique (Yang & Tsai, 2010) were compared with our method. Performance comparison between these methods was given in Table 3.…”

An Effective Dual-Image Reversible Hiding for UAV’s Image Communication

“…For example, the private data of a patient were embedded into the medical image, which causes the distortion problem and erroneous judgments by doctors. Figure 2 shows that reversible data hiding methods can be classified mainly into two types, i.e., the frequency domain [2,3] and the spatial domain [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. The frequency domain is used to transform the cover pixels in the image into coefficients and embed data into the coefficients.…”

“…To enhance the hiding capacity, Lu et al [20] proposed a center folding strategy that can embed a set of K secret bits into a pair of pixels. In addition, the strategy can The current methods in the spatial domain can be classified mainly into five types, i.e., the compression method [4], difference expansion [5], prediction [6][7][8][9][10][11], histogram [12][13][14], and dual-image [15][16][17][18][19][20][21][22][23]. In 2002, Celik et al [4] proposed a compression-based hiding method that quantified the pixels in the image and recorded the values of remainders, which were used as recovery information.…”