A DWT-DCT combined approach for video steganography

Korgaonkar, Vinita V.; Gaonkar, Manisha Naik

doi:10.1109/rteict.2017.8256631

Cited by 12 publications

(2 citation statements)

References 7 publications

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“…4. Discrete wavelet transform (DWT) and discrete cosine transform (DCT) are two predominantly used transform function in video steganography [53,83,94,117]. The general description of both DWT, and DCT functions and discussions of methods using DWT, and DCT functions for video steganography are provided in this section.…”

Section: Data Hiding In Transform Domainmentioning

confidence: 99%

Video steganography: recent advances and challenges

Kunhoth

Subramanian

Al‐Maadeed

et al. 2023

Multimed Tools Appl

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Video steganography approach enables hiding chunks of secret information inside video sequences. The features of video sequences including high capacity as well as complex structure make them more preferable for choosing as cover media over other media such as image, text, or audio. Video steganography is a prominent as well as the evolving field in the information security domain and significant number of video steganography methods are proposed in recent years. This article provides a comprehensive review of video steganography methods proposed in the literature. This article initially reviews various raw domain-based video steganography methods. In particular, the raw domain-based methods include spatial domain approaches such as least significant bits (LSB), transform domain-based methods such as discrete wavelet transform, discrete cosine transform, etc. Furthermore, the article looks into various compressed domain steganography methods. A critical comparative analysis is included in the article to analyze and contrast the steganography methods proposed in the literature. A brief description of various evaluation matrices for video steganography methods is provided in this article. Moreover, a brief introduction to steganalysis and video steganalysis is provided. The article concludes with a discussion focused on the limitations and challenges of the video steganography methods. Further, a brief insight into future directions in video steganography systems is provided.

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Section: Data Hiding In Transform Domainmentioning

confidence: 99%

Video steganography: recent advances and challenges

Kunhoth

Subramanian

Al‐Maadeed

et al. 2023

Multimed Tools Appl

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show abstract

“…Korgaonkar and Gaonkar [20] proposed a DWT-DCT combined approach for video steganography. Non-key frames were selected from the cover video to hide secret data files.…”

Section: Introductionmentioning

confidence: 99%

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

et al. 2022

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Internet simplified digital data transferring. This data needs to be secured; so securing digital data becomes an important concern. Steganography provides security for data by inserting it into a cover and concealing it. In this paper, a steganography algorithm was introduced. This algorithm used the stationary wavelet transform (SWT) and اhybrid-matrix decomposition techniques, singular value decomposition (SVD) and QR factorization to conceal a video in another video. The algorithm performance was measured with reference to the peak signal to noise ratio (PSNR) and structural similarity index measure (SSIM) for the cover and the secret videos. The algorithm successfully hid a video in another cover video and both are of the same size; the hiding capacity was 100%. The algorithm achieved a SSIM that reached 0.97 and a high PSNR value that reached 68.8 proving that the imperceptibility of the proposed algorithm is very high. The comparative analysis shows that the suggested algorithm achieved higher imperceptibility than the other state-of-the-art algorithms regarding the average PSNR. The enhanced version of the proposed method was more robust against different types of attacks.

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A Review on Geo-location-Based Authentication with Various Lossless Compression Techniques

Kumar

Singh

2023

Lecture Notes in Electrical Engineering

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A DWT-DCT combined approach for video steganography

Cited by 12 publications

References 7 publications

Video steganography: recent advances and challenges

Video steganography: recent advances and challenges

High capacity video hiding based on multi-resolution stationary wavelet transform and hybrid-matrix decomposition techniqueset Transform and hybrid-matrix decomposition techniques

A Review on Geo-location-Based Authentication with Various Lossless Compression Techniques

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