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AuthorNajeeb, Al Anood
AuthorMaadeed, Somaya Al
AuthorMaadeed, Noor Al
Available date2021-10-19T06:13:04Z
Publication Date2021
Publication NameQatar University Annual Research an Exhibition 2021 (quarfe)
CitationNajeeb A. A., Maadeed S. A., Maadeed N. A., "Performance Analysis of DCT and WDCT Algorithms in Image Steganography", Qatar University Annual Research Forum and Exhibition (QUARFE 2021), Doha, 20 October 2021, https://doi.org/10.29117/quarfe.2021.0167
URIhttps://doi.org/10.29117/quarfe.2021.0167
URIhttp://hdl.handle.net/10576/24531
AbstractFrequency domain techniques such as Discrete Cosine Transform (DCT) and Discrete Wavelet Transform (DWT) ensures high accuracy when compared with the spatial domain techniques. Therefore, these image steganographic methods were evaluated using public datasets to compare the performance of DCT and DWT. After performing different tests using the datasets in each of the algorithms, a comparative analysis is made in terms of the Peak Signal-to-Noise Ratio (PSNR) metrics. The results indicate that the stego image generated after embedding the secret acquires high imperceptibility and robustness. The performance of the DWT algorithm is higher as compared to the DCT algorithm and the resultant images produced are very less prone to noise attacks. In DCT and DWT algorithms, the cover image will be split based on 8×8 pixel blocks and 2D DCT is applied on each pixel. The secret will be embedded inside DCT coefficient and inverse 2D DCT is applied to recover the secret. Therefore, these image steganographic techniques can be adopted to transfer the confidential messages in different sectors. In the future, other data hiding methods using deep learning could be implemented to increase the robustness and imperceptibility of covert messages.
Languageen
PublisherQatar University Press
SubjectDCT
DWT
Steganography
Comparison
PSNR
TitlePerformance Analysis of DCT and DWT Algorithms in Image Steganography
TypePoster
dc.accessType Open Access


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