High capacity data hiding based on multi-directional pixel value differencing and decreased difference expansion

2021 ◽  
Author(s):  
Pratap Chandra Mandal ◽  
Imon Mukherjee
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Difference Expansion ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Capacity Data

scholarly journals A Secure and High-Capacity Data-Hiding Method Using Compression, Encryption and Optimized Pixel Value Differencing

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 51130-51139 ◽  
Author(s):  
Awdhesh Kumar Shukla ◽  
Awdhesh K. Shukla ◽  
Balvinder Singh ◽  
Amod Kumar
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Pixel Value ◽  
Pixel Value Differencing ◽  
Capacity Data

An improved high capacity data hiding scheme using pixel value adjustment and modulus operation

2019 ◽  
Vol 79 (23-24) ◽  
pp. 17003-17013 ◽  
Author(s):  
T. D. Sairam ◽  
K. Boopathybagan
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Pixel Value ◽  
Capacity Data

A reversible high capacity data hiding scheme using pixel value adjusting feature

2014 ◽  
Vol 75 (1) ◽  
pp. 241-259 ◽  
Author(s):  
Rajeev Kumar ◽  
Satish Chand
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Pixel Value ◽  
Capacity Data

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.

scholarly journals Secure High Capacity Data Hiding for 3d Meshes

2016 ◽  
Vol 2016 (21) ◽  
pp. 1-7
Author(s):  
V. Itier ◽  
A.G. Bors ◽  
W. Puech ◽  
J.-P. Pedeboy
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Capacity Data

High capacity data hiding scheme based on multi-bit encoding function

Optik ◽  
2016 ◽  
Vol 127 (4) ◽  
pp. 1762-1769 ◽  
Author(s):  
Wen-Chung Kuo ◽  
Shao-Hung Kuo ◽  
Chun-Cheng Wang ◽  
Lih-Chyau Wuu
Keyword(s):  
Data Hiding ◽  
High Capacity ◽  
Capacity Data
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