DocumentCode :
661932
Title :
On the comparison of digital image steganography algorithm based on DCT and wavelet
Author :
Saejung, S. ; Boondee, A. ; Preechasuk, Jitdumrong ; Chantrapornchai, Chantana
Author_Institution :
Dept. of Comput., Silpakorn Univ., Nakhon Pathom, Thailand
fYear :
2013
fDate :
4-6 Sept. 2013
Firstpage :
328
Lastpage :
333
Abstract :
Steganography usually focuses on communicating secret data through a selected media such as image, audio, video etc. The goal of it is to hide the information in such a way that it is not prone to the detection while keeping the quality of the media. Also, other thing is also important about the algorithm itself such as robustness, capacity of hiding, computation time etc. In this work, we study the algorithms of steganography based on Discrete Cosine Transform (DCT) and Wavelet transform. We study the aspects of media quality after hiding the information in the digital images. Particularly, we compare the performance of the algorithms in [7] and [10] using Peak Signal-to-Noise Ration (PSNR). It is found that the algorithm using DCT has the PSNR value between 51-53dB while the algorithm using Wavelet has the PSNR value between 28-52dB on a test set of images. Also, considering the robustness, the DCT-based algorithm has a better PSNR when the image compression ratio increases.
Keywords :
data compression; discrete cosine transforms; image coding; steganography; wavelet transforms; DCT; PSNR; computation time; digital image steganography algorithm; discrete cosine transform; hiding capacity; image compression ratio; media quality; peak signal-to-noise ratio; robustness; secret data communication; wavelet transform; Computer science; Conferences; DCT-Transform Image Security; Image Steganography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Engineering Conference (ICSEC), 2013 International
Conference_Location :
Nakorn Pathom
Print_ISBN :
978-1-4673-5322-9
Type :
conf
DOI :
10.1109/ICSEC.2013.6694803
Filename :
6694803
Link To Document :
بازگشت