Reversible data hiding for 3D mesh models with three-dimensional prediction-error histogram modification

2017 ◽  
Vol 77 (5) ◽  
pp. 5263-5280 ◽  
Author(s):  
Ruiqi Jiang ◽  
Weiming Zhang ◽  
Dongdong Hou ◽  
Hui Wang ◽  
Nenghai Yu
Keyword(s):  
Data Hiding ◽  
Prediction Error ◽  
Reversible Data Hiding ◽  
Three Dimensional ◽  
Histogram Modification ◽  
3D Mesh ◽  
Mesh Models

Homomorphic Encryption-Based Reversible Data Hiding for 3D Mesh Models

2018 ◽  
Vol 43 (12) ◽  
pp. 8145-8157 ◽  
Author(s):  
Mohsin Shah ◽  
Weiming Zhang ◽  
Honggang Hu ◽  
Hang Zhou ◽  
Toqeer Mahmood
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Homomorphic Encryption ◽  
3D Mesh ◽  
Mesh Models

Reversible data hiding for 3D mesh models with hybrid prediction and multilayer strategy

2018 ◽  
Vol 78 (21) ◽  
pp. 29713-29729 ◽  
Author(s):  
Qilong Zhang ◽  
Xiaoying Song ◽  
Tao Wen ◽  
Chongguo Fu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
3D Mesh ◽  
Hybrid Prediction ◽  
Mesh Models

Reversibility improved data hiding in 3D mesh models using prediction-error expansion and sorting

Measurement ◽  
2019 ◽  
Vol 135 ◽  
pp. 738-746 ◽  
Author(s):  
Qilong Zhang ◽  
Xiaoying Song ◽  
Tao Wen ◽  
Chongguo Fu
Keyword(s):  
Data Hiding ◽  
Prediction Error ◽  
3D Mesh ◽  
Prediction Error Expansion ◽  
Error Expansion ◽  
Mesh Models

Reversible Data Hiding in Encrypted Three-Dimensional Mesh Models

2018 ◽  
Vol 20 (1) ◽  
pp. 55-67 ◽  
Author(s):  
Ruiqi Jiang ◽  
Hang Zhou ◽  
Weiming Zhang ◽  
Nenghai Yu
Keyword(s):  
Data Hiding ◽  
Reversible Data Hiding ◽  
Three Dimensional ◽  
Mesh Models

scholarly journals A Location Map Reduced Reversible Data Hiding Method Using Prediction Error Modification

2012 ◽  
Vol 6-7 ◽  
pp. 428-433
Author(s):  
Yan Wei Li ◽  
Mei Chen Wu ◽  
Tung Shou Chen ◽  
Wien Hong
Keyword(s):  
Image Quality ◽  
Data Hiding ◽  
Prediction Error ◽  
Reversible Data Hiding ◽  
Experimental Results ◽  
Cover Image ◽  
Prediction Errors ◽  
Secret Data ◽  
Location Map ◽  
Comparable Image Quality

We propose a reversible data hiding technique to improve Hong and Chen’s (2010) method. Hong and Chen divide the cover image into pixel group, and use reference pixels to predict other pixel values. Data are then embedded by modifying the prediction errors. However, when solving the overflow and underflow problems, they employ a location map to record the position of saturated pixels, and these pixels will not be used to carry data. In their method, if the image has a plenty of saturated pixels, the payload is decreased significantly because a lot of saturated pixels will not joint the embedment. We improve Hong and Chen’s method such that the saturated pixels can be used to carry data. The positions of these saturated pixels are then recorded in a location map, and the location map is embedded together with the secret data. The experimental results illustrate that the proposed method has better payload, will providing a comparable image quality.

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