Authenticity Preservation with Histogram-Based Reversible Data Hiding and Quadtree Concepts

Abstract

With the widespread use of identification systems, establishing authenticity with sensors has become an important research issue. Among the schemes for making authenticity verification based on information security possible, reversible data hiding has attracted much attention during the past few years. With its characteristics of reversibility, the scheme is required to fulfill the goals from two aspects. On the one hand, at the encoder, the secret information needs to be embedded into the original image by some algorithms, such that the output image will resemble the input one as much as possible. On the other hand, at the decoder, both the secret information and the original image must be correctly extracted and recovered, and they should be identical to their embedding counterparts. Under the requirement of reversibility, for evaluating the performance of the data hiding algorithm, the output image quality, named imperceptibility, and the number of bits for embedding, called capacity, are the two key factors to access the effectiveness of the algorithm. Besides, the size of side information for making decoding possible should also be evaluated. Here we consider using the characteristics of original images for developing our method with better performance. In this paper, we propose an algorithm that has the ability to provide more capacity than conventional algorithms, with similar output image quality after embedding, and comparable side information produced. Simulation results demonstrate the applicability and better performance of our algorithm.

Block-based reversible data hiding with multi-round estimation and difference alteration

“…Finally, difference histogram corresponding to original image D(k) can be calculated with Eqs. (9) and (10). By adding back the difference values, original image X(i, j) can be recovered.…”

“…For intentionally altering the selected portion, the mean squared error (MSE) between original and marked image would be at most 1.0, leading to the peak signal-to-noise ratio (PSNR) of at least 48.13 dB [10,21]. Due to its simplicity in implementation, and the guaranteed output image quality, the histogram-based techniques are famous for these advantages.…”

A bi-directional associative memory based multiple image watermarking on cover video

“…This includes cryptography [15], steganography [12,25] and watermarking [9,10]. The former approach dealt with converting the original information into a unreadable form, whereas, the latter approaches are a kind of data hiding technique [17,18,32], where the secure information is hidden over the cover content.…”

A reversible data hiding method with contrast enhancement for medical images

“…Among them, most are for digital images in the plain text domain (e.g. [3][4][5][6][7][8][9][10][11][12][13][14]), and even in the encrypted domain (e.g. [15][16][17][18]).…”