Image Steganography - Least Significant Bit with Multiple Progressions

被引：4

作者：

Goel, Savita ^{[1
]}

Gupta, Shilpi ^{[2
]}

Kaushik, Nisha ^{[3
]}

机构：

[1] IIT Delhi, Comp Serv Ctr, Delhi, India

[2] Amity Univ, Dept Comp Sci & Engn, ASET, Noida, India

[3] Satyam Coll Engn, Dept Comp Sci & Engn, Ghaziabad, India

来源：

PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON FRONTIERS OF INTELLIGENT COMPUTING: THEORY AND APPLICATIONS (FICTA) 2014, VOL 2 | 2015年 / 328卷

关键词：

Data Hiding; Steganography; Least Significant Bit (LSB); Cover Image; Stego Image;

D O I：

10.1007/978-3-319-12012-6_12

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we have proposed a new technique of hiding a message on least significant bit of a cover image using different progressions. We have also compared the cover image and stego images with histograms and computed the CPU Time, Mean Square Error (MSE), Peak Signal Noise Ratio (PSNR), Structural Similarity (SSIM) index and Feature similarity index measure (FSIM) of all images with our method and earlier approaches and make an empirical study. Experimental results concluded that our method is more efficient and fast as compared to classical LSB and LSB using prime.

引用

页码：105 / 112

页数：8

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