Reversible Data Hiding Based on Hilbert Curve Scan and Histogram Modification

2012 ◽  
Vol 11 (2) ◽  
pp. 209-216 ◽  
Author(s):  
Zhenfei Zhao ◽  
Hao Luo
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Hilbert Curve ◽  
Histogram Modification

scholarly journals Reversible data hiding based on histogram modification of difference images by s-type and Hilbert curve scanning

2015 ◽  
Vol 15 (2) ◽  
pp. 6516-6524
Author(s):  
Jin Chen ◽  
Ruisong Ye
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Block Size ◽  
Cover Image ◽  
Size Difference ◽  
Hilbert Curve ◽  
Histogram Modification ◽  
Difference Image ◽  
Difference Images ◽  
Gray Values

Reversible data hiding technology has currently attracted great attention recently. Using reversible data hiding methods, original cover images can be recovered losslessly from the cover image embedded information. In this paper, spatial reversible data hiding schemes based on histogram modification of difference images are discussed, in which the pixel gray values of difference image are altered slightly to perform the embedding and extraction. Specifically, we design two reversible data hiding schemes based on S-type scanning and Hilbert curve scanning, and compare them with the reversible data hiding scheme by difference between adjacent columns of the cover image. Embedding capacity and PSNR are calculated to figure out how block size, difference manner and embedding level influence the effect of hiding.

Real-time reversible data hiding based on multiple histogram modification

2018 ◽  
Vol 16 (3) ◽  
pp. 661-671 ◽  
Author(s):  
Tong Zhang ◽  
Xiaolong Li ◽  
Wenfa Qi ◽  
Wei Li ◽  
Zongming Guo
Keyword(s):  
Real Time ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Histogram Modification

A High Capacity Reversible Data Hiding Scheme Based on Multi-Level Integer DWT and Histogram Modification

2014 ◽  
Vol 6 (1) ◽  
pp. 51-64 ◽  
Author(s):  
Shun Zhang ◽  
Tie-gang Gao ◽  
Fu-sheng Yang
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Wavelet Transformation ◽  
High Capacity ◽  
Discrete Wavelet ◽  
Embedding Capacity ◽  
Discrete Cosine Transformation ◽  
Histogram Modification ◽  
Multi Level ◽  
High Embedding Capacity

A reversible data hiding scheme based on integer DWT and histogram modification is proposed. In the scheme, the cover media is firstly transformed by Integer DWT (Discrete Wavelet Transformation); then information is embedded through the modification of histograms of the middle and high frequency sub-bands of the DWT coefficients. In order to increase the embedding capacity, a multi-level scheme is proposed, which achieved both high embedding capacity and reversibility. Extensive experimental results have shown that the proposed scheme achieves both higher embedding capacity and lower distortion than spatial domain histogram modification based schemes; and it achieved better performance than integer DCT (Discrete Cosine Transformation) based histogram modification scheme.

scholarly journals Reversible Data Hiding With Image Contrast Enhancement Based on Two-Dimensional Histogram Modification

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 83332-83342 ◽  
Author(s):  
Hao-Tian Wu ◽  
Weiqi Mai ◽  
Shuyi Meng ◽  
Yiu-Ming Cheung ◽  
Shaohua Tang
Keyword(s):  
Contrast Enhancement ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Image Contrast ◽  
Two Dimensional ◽  
Histogram Modification ◽  
Image Contrast Enhancement

scholarly journals A Joint Encryption and Reversible Data Hiding Scheme Based on Integer-DWT and Arnold Map Permutation

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Shun Zhang ◽  
Tiegang Gao ◽  
Guorui Sheng
Keyword(s):  
Frequency Domain ◽  
Data Hiding ◽  
Reversible Data Hiding ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Original Image ◽  
Histogram Modification ◽  
Encrypted Image ◽  
Hidden Data ◽  
Arnold Map

A joint encryption and reversible data hiding (joint encryption-RDH) scheme is proposed in this paper. The cover image is transformed to the frequency domain with integer discrete wavelet transform (integer DWT) for the encryption and data hiding. Additional data is hidden into the permuted middle (LH, HL) and high (HH) frequency subbands of integer DWT coefficients with a histogram modification based method. A combination of permutations both in the frequency domain and in the spatial domain is imposed for the encryption. In the receiving end, the encrypted image with hidden data can be decrypted to the image with hidden data, which is similar to the original image without hidden data, by only using the encryption key; if someone has both the data hiding key and the encryption key, he can both extract the hidden data and reversibly recover the original image. Experimental results demonstrate that, compared with existing joint encryption-RDH schemes, the proposed scheme has gained larger embedding capacity, and the distribution of the encrypted image with data hidden has a random like behavior. It can also achieve the lossless restoration of the cover image.

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