Secure image steganography using framelet transform and bidiagonal SVD

Subhedar, Mansi; Mankar, Vijay H.

doi:10.1007/s11042-019-08221-9

Cited by 23 publications

(5 citation statements)

References 33 publications

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“…Abdallah et al [34] propose an embedding that relies on the use of SVD orthogonal matrices as a container for embedding information rather than embedding in the singular values of the images. Subhedar and Mankar [35] developed an image steganography scheme based on the framelet transformation that hides a secret image in the cover image, using bidiagonal singular value decomposition, because the secret information is embedded in singular values of framelet coefficients. Rodriguez-Mendez et al [36] present a steganographic model that hides a digital voice signal in a color image, shows embedding capabilities, robustness, and imperceptibility of the secret message, as well as superior visual quality of the stego-image and audio quality of the signal of recovered voice compared to the state-of-the-art (SoTA) schemes.…”

Section: 𝐼 = 𝑈𝑆𝑉 𝑡mentioning

confidence: 99%

A comparative study of steganography using watermarking and modifications pixels versus least significant bit

Caballero,

Muñoz,

Ramos-Corchado

2023

IJECE

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This article presents a steganography proposal based on embedding data expressed in base 10 by directly replacing the pixel values from images red, green blue (RGB) with a novel compression technique based on watermarks. The method considers a manipulation of the object to be embedded through a data compression triple process via LZ77 and base 64, watermark from low-quality images, embedded via discrete wavelet transformation-singular value decomposition (DWT-SVD), message embedded by watermark is recovered with data loss calculated, the watermark image and lost data is compressed again using LZ77 and base 64 to generate the final message. The final message is embedded in portable network graphic (PNG) images taken from the Microsoft common objects in context (COCO), ImageNet and uncompressed color image database (UCID) datasets, through a filtering process pixel of the images, where the selected pixels expressed in base 10, and the final message data is embedded by replacing units’ position of each pixel. In experimentation results an average of 40 dB in peak signal noise to ratio (PSNR) and 0.98 in the similarity structural index metric (SSIM) evaluation were obtained, and evasion steganalysis rates of up to 93% for stego-images, the data embedded average is 3.2 bpp.

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Section: 𝐼 = 𝑈𝑆𝑉 𝑡mentioning

confidence: 99%

A comparative study of steganography using watermarking and modifications pixels versus least significant bit

Caballero,

Muñoz,

Ramos-Corchado

2023

IJECE

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“…From the several state-of-the-art methods above, it appears that the use of SVD and LSB methods is one of the best combinations for designing fragile image watermarking. There is steganographic research [22] which uses the SVD diagonal. Bidiagonal SVD is claimed to be more secure than SVD to be applied to data hiding methods such as steganography and watermarking, so in this research the Bidiagonal SVD and LSB methods are proposed.…”

Section: Motivation and Contributionmentioning

confidence: 99%

“…The research [22] bidiagonal SVD (BSVD) method is proposed for image steganography. Steganography has something in common with watermarking, namely data embedding.…”

Section: Bidiagonal Svdmentioning

confidence: 99%

Fragile Image Watermarking Based on Bidiagonal SVD-LSB for Tamper Detection and Localization

2022

IJIES

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Tamper detection and localization are essential things in fragile image watermarking to carry out the authentication process. The tampering method continues to evolve from general and complex tampering. This study proposes a tamper detection and localization technique that can withstand a variety of standard and complex attacks with a combination of bidiagonal singular value decomposition, blockwise and group block for authentication. The least significant bit method is used in the embedding process to increase imperceptibility. By combining these methods, fragile image watermarking is produced that is robust against various common tampers such as type I and type II copypaste, rotate, text addition, and noise addition, as well as various complex attacks such as vector quantization, collage, content only and constant feature. The tamper detection rate is more than 0.99, and the average PSNR value is 51.85 dB. This shows that the proposed method is robust against various tampers and has excellent imperceptibility.

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“…Mathematical decomposition techniques [30] are applied on contourlet coefficients of the carrier thereafter secret data is implanted into factorized coefficients. Framelet transform is carried out in the study [31] on a cover image to get transform coefficients for embedding Secret information. A genetic algorithm is used to map information in DWT coefficients of 4 × 4 blocks of the carrier image.…”

Section: Related Workmentioning

confidence: 99%

Spectral Graph Wavelet Based Image Steganography Using SVD and Arnold Transform

Chaudhary¹,

Hiranwal²,

Gupta³

2021

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Steganography is the process of concealing sensitive information within cover medium. This study offers an efficient and safe innovative image steganography approach based on graph signal processing (GSP). To scramble the secret image, Arnold cat map transform is used, then Spectral graph wavelet is used to change the cover and scrambled secret image, followed by singular vector decomposition (SVD) of the modified cover image. To create the stego image, an alpha blending process is used. To produce the stego image, GSP-based synthesis is used. By maintaining the inter-pixel correlation, GSP improves the visual quality of the produced stego image. The effects of image processing attacks on the suggested approach are examined. The investigational results and assessment indicate that the proposed steganography scheme is more efficient and robust in terms of quality measures. The quality of stego image is evaluated in respect of PSNR, NCC, SC and AD performance metrics.

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Secure image steganography using framelet transform and bidiagonal SVD

Cited by 23 publications

References 33 publications

A comparative study of steganography using watermarking and modifications pixels versus least significant bit

A comparative study of steganography using watermarking and modifications pixels versus least significant bit

Fragile Image Watermarking Based on Bidiagonal SVD-LSB for Tamper Detection and Localization

Spectral Graph Wavelet Based Image Steganography Using SVD and Arnold Transform

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