scholarly journals A reversible data hiding scheme in JPEG bitstreams using DCT coefficients truncation

2020 ◽  
Vol 14 (1) ◽  
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Dct Coefficients

A Novel Multilevel DCT Based Reversible Data Hiding

2010 ◽  
pp. 204-233
Author(s):  
Hong Cai ◽  
Sos S. Agaian
Keyword(s):  
Image Processing ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Decomposition Method ◽  
Hilbert Curve ◽  
High Quality ◽  
Distinct Frequency ◽  
Dct Coefficients ◽  
Lossless Data Hiding ◽  
Frequency Properties

DCT and wavelet based techniques have been widely used in image processing, for example, the applications involving JPEG, MPEG and JPEG2000. To combine the advantages of DCT and wavelet, we introduce in this chapter a novel multilevel DCT decomposition method by exploiting the modified inverse Hilbert curve. The experimental results showed that the proposed multilevel decomposition can extract characteristic DCT coefficients and assign the coefficients to new neighborhoods with distinct frequency properties. We discuss a powerful reversible data hiding algorithm in JPEG images based on this new multilevel DCT. This lossless data hiding algorithm features a key-dependent (multilevel structure) coefficient-extension technique and an embedding location selector, and it can achieve high quality reconstructed images with disparate content types.

scholarly journals Two-Dimensional Histogram Shifting-Based Reversible Data Hiding for H.264/AVC Video

2020 ◽  
Vol 10 (10) ◽  
pp. 3375
Author(s):  
Yuzhang Xu ◽  
Junhui He
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Great Success ◽  
Two Dimensional ◽  
Histogram Shifting ◽  
File Size ◽  
Secret Data ◽  
Embedding Efficiency ◽  
Dct Coefficients ◽  
Dct Coefficient

Histogram shifting (HS) has been proved to be a great success in reversible data hiding (RDH). To reduce the quality loss of marked media and the increase in file size, several two-dimensional (2D) HS schemes based on the characteristics of cover media have been proposed recently. However, our analysis shows that the embedding strategies used in these methods can be further optimized. In this paper, two new 2D HS schemes for RDH in H.264/AVC video are developed, one of which uses the DCT coefficient pairs with both values 0 and the other does not. The embedding efficiency of a DCT coefficient pair in different embedding modes is firstly calculated. Then, based on the obtained embedding efficiency along with the statistical distribution of DCT coefficient pairs, two better embedding strategies are proposed. The secret data is finally embedded into the pairs of DCT coefficients of the middle and high frequencies using our proposed strategies. The comparison experiment results demonstrate that our schemes can achieve enhanced visual quality in terms of PSNR, SSIM, and entropy in most cases, and the increase in file size is smaller.

A Reversible Data Hiding for JPEG Images

2012 ◽  
Vol 433-440 ◽  
pp. 4615-4620 ◽  
Author(s):  
Gui Long Liao ◽  
Xin Peng Zhang
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Rate Distortion ◽  
Previous Method ◽  
Data Embedding ◽  
Original Image ◽  
Secret Data ◽  
Jpeg Images ◽  
Efficient Data ◽  
Dct Coefficients

A novel reversible data hiding technique for JPEG images is proposed in this paper. Consecutive zeros in the tail of DCT coefficient sequence in each block are exploited to embed a number of secret bits by modifying only one coefficient. Thanks to the efficient data embedding in the DCT coefficients, the proposed scheme can provide a good rate-distortion performance. Also, when having an image containing secret data, one can perfectly recover the original image after extracting the embedded data. Experimental results show that the proposed scheme outperforms the previous method.

High Capacity Reversible Data Hiding Algorithm Using Interpolation and Sorting

2018 ◽  
Vol 30 (10) ◽  
pp. 1954
Author(s):  
Xiangguang Xiong ◽  
Yongfeng Cao ◽  
Weihua Ou ◽  
Bin Liu ◽  
Li Wei ◽  
...  
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
High Capacity

A robust and high capacity data hiding method for JPEG compressed images with SVD-based block selection and advanced error correcting techniques

2021 ◽  
pp. 1-11
Author(s):  
Kusan Biswas
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Error Correcting Codes ◽  
Human Vision ◽  
Data Embedding ◽  
Compressed Images ◽  
Matrix Encoding ◽  
Dct Coefficients ◽  
Capacity Data ◽  
Value Decomposition

In this paper, we propose a frequency domain data hiding method for the JPEG compressed images. The proposed method embeds data in the DCT coefficients of the selected 8 × 8 blocks. According to the theories of Human Visual Systems  (HVS), human vision is less sensitive to perturbation of pixel values in the uneven areas of the image. In this paper we propose a Singular Value Decomposition based image roughness measure (SVD-IRM) using which we select the coarse 8 × 8 blocks as data embedding destinations. Moreover, to make the embedded data more robust against re-compression attack and error due to transmission over noisy channels, we employ Turbo error correcting codes. The actual data embedding is done using a proposed variant of matrix encoding that is capable of embedding three bits by modifying only one bit in block of seven carrier features. We have carried out experiments to validate the performance and it is found that the proposed method achieves better payload capacity and visual quality and is more robust than some of the recent state-of-the-art methods proposed in the literature.

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