Open Access

ARTICLE

DWT-SVD Based Image Steganography Using Threshold Value Encryption Method

Jyoti Khandelwal¹, Vijay Kumar Sharma¹, Dilbag Singh^2,*, Atef Zaguia³

1 School of Computing and Information Technology (SCIT), Manipal University Jaipur, Jaipur, 302004, India
2 School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju,61005, Korea
3 Department of Computer Science, College of Computers and Information Technology Taif University, 11099,Saudi Arabia

* Corresponding Author: Dilbag Singh. Email:

Computers, Materials & Continua 2022, 72(2), 3299-3312. https://doi.org/10.32604/cmc.2022.023116

Received 28 August 2021; Accepted 16 November 2021; Issue published 29 March 2022

Abstract

Digital image steganography technique based on hiding the secret data behind of cover image in such a way that it is not detected by the human visual system. This paper presents an image scrambling method that is very useful for grayscale secret images. In this method, the secret image decomposes in three parts based on the pixel's threshold value. The division of the color image into three parts is very easy based on the color channel but in the grayscale image, it is difficult to implement. The proposed image scrambling method is implemented in image steganography using discrete wavelet transform (DWT), singular value decomposition (SVD), and sorting function. There is no visual difference between the stego image and the cover image. The extracted secret image is also similar to the original secret image. The proposed algorithm outcome is compared with the existed image steganography techniques. The comparative results show the strength of the proposed technique.

---

Keywords

---