Adaptive Linear Programming of Polar Codes to Minimize Additive Distortion in Steganography

被引：0
|
作者：
Diouf, Birahime [1 ]
Diop, Idy [1 ]
Keita, Khadidiatou W. [1 ]
Farssi, Sidi M. [1 ]
Khouma, Ousmane [1 ]
Diouf, Madiop [1 ]
Tall, Khaly [1 ]
机构：
[1] Cheikh Anta Diop Univ UCAD, Polytech Inst ESP, Dept Comp Sci, Dakar, Senegal
来源：
PROCEEDINGS OF THE 2016 SAI COMPUTING CONFERENCE (SAI) | 2016年
关键词：
Adaptive linear programming; additive distortion; polar code; steganography; syndrome coding; wet paper codes;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
A new practical syndrome coding method is proposed in this paper to minimize a suitably defined additive distortion function using Adaptive Linear Programming of Polar Codes (ALP-PC). We propose modifications of the ALP-PC based on a new reduced factor graph for steganographic purposes which we denote by ALP-PCS. The implementation of wet paper codes in practice is possible using ALP-PCS. Simulation results show that this method minimizes additive distortion in steganography and gives good embedding efficiency performance.
引用
收藏
页码：1086 / 1092
页数：7
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