A JPEG-Compression Resistant Adaptive Steganography Based on Relative Relationship between DCT Coefficients

Author(s):  
Yi Zhang ◽  
Xiangyang Luo ◽  
Chunfang Yang ◽  
Dengpan Ye ◽  
Fenlin Liu
2016 ◽  
Vol 9 (15) ◽  
pp. 2957-2971 ◽  
Author(s):  
Yi Zhang ◽  
Xiangyang Luo ◽  
Chunfang Yang ◽  
Dengpan Ye ◽  
Fenlin Liu

Author(s):  
Q. Zhang ◽  
Y. Li ◽  
X. Wei

This paper proposes an improved watermarking algorithm based on DCT(Discrete Cosine Transform). We carried out the algorithm as described as follows. First, we extended both rows and ranks of the watermark by using the proposed method before the embedding stage. After expansion, Sine chaotic system is employed in encrypting the watermark. In the embedding stage, an effective and adaptive embedding method is proposed to embed the watermark into the blocked DCT coefficients. Experimental results demonstrate that the proposed algorithm in this paper works well in resisting both geometry attack and noise attack. It also does well in recovering the watermark after stego image suffered from JPEG compression.


2020 ◽  
Vol 384 ◽  
pp. 335-345 ◽  
Author(s):  
Mengdi Sun ◽  
Xiaohai He ◽  
Shuhua Xiong ◽  
Chao Ren ◽  
Xinglong Li

Author(s):  
LEE SHU-TENG CHEN ◽  
SIAN-JHENG LIN ◽  
JA-CHEN LIN

The stego-images generated by many existing hiding techniques are not economic in size, and hence need compression. Unfortunately, compression usually destroys the secret content hidden inside. To solve this dilemma, some hiding methods based on compression code (rather than the image itself) are reported. This paper proposes a high-capacity and high-hiding-ratio "reversible" steganography method based on JPEG-compression code. In the proposed method, the JPEG compression code of an image is used as the cover media. An 8×8 hiding-capacity table is firstly evaluated, which is then utilized to modify the quantization table attached to the given JPEG code. The two quantization tables (modified and original) together can map the DCT coefficients of each block to some larger DCT coefficients, with secret data hidden inside these larger DCT coefficients. In the decoding process, after lossless extraction of the hidden secret data, the proposed method can also recover the original JPEG-compression code. Experimental results show that our method outperforms other JPEG-based hiding methods (reversible or not) regarding both hiding-ratio and stego-image's quality.


2017 ◽  
Vol 77 (14) ◽  
pp. 17913-17935 ◽  
Author(s):  
Yi Zhang ◽  
Xiaodong Zhu ◽  
Chuan Qin ◽  
Chunfang Yang ◽  
Xiangyang Luo

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