Double-Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi-Region Coverage

Abstract

On the basis of ensuring the quality and concealment of steganographic images, this paper proposes a double-matrix decomposition image steganography scheme with multi-region coverage, to solve the problem of poor extraction ability of steganographic images under attack or interference. First of all, the cover image is transformed by multi-wavelet transform, and the hidden region covering multiple wavelet sub-bands is selected in the wavelet domain of the cover image to embed the secret information. After determining the hidden region, the hidden region is processed by Arnold transform, Hessenberg decomposition, and singular-value decomposition. Finally, the secret information is embedded into the cover image by embedding intensity factor. In order to ensure robustness, the hidden region selected in the wavelet domain is used as the input of Hessenberg matrix decomposition, and the robustness of the algorithm is further enhanced by Hessenberg matrix decomposition and singular-value decomposition. Experimental results show that the proposed method has excellent performance in concealment and quality of extracted secret images, and secret information is extracted from steganographic images attacked by various image processing attacks, which proves that the proposed method has good anti-attack ability under different attacks.

Image Steganography Technique based on Singular Value Decomposition and Discrete Wavelet Transform

“…From the result table, it shows that there is little difference between the cover image and stego image after data hiding. Similarly negligible difference in original massage image and extracted image [13]. In practical scenario any technique must subjected with noise while transmitting stego image from one place to other place.…”

Contribution of neural networks in image steganography, watermarking and encryption

“…A digital image steganography research was done by Pan et al. [4] in 2022 with title ‘Double‐Matrix Decomposition Image Steganography Scheme Based on Wavelet Transform with Multi‐Region Coverage’ and the experimental results demonstrate that the proposed technique has a good performance in imperceptibility of medium and best quality of extracted secret image after some attacks such as Gaussian noise, salt and pepper noise, speckle noise, JPEG compression, JPEG2000 compression, sharpening attack, histogram, equalization and motion blur. The method consists by transforming the host image by multi‐wavelet transform and the non‐sensible or hidden regions selected in the wavelet domain are exploited for mark insertion.…”

“…Before going to watermarking experience, we compare our technique with steganography state of art cited in paragraph 2. The scheme in [4,[6][7][8] shows the experience without attack; however, Zaidan [5] did the test without and with different attacks so we have two separate tables (Tables 9, 10). Note the experience done by Zaidan [5], the secret image was Peppers so we take it as a watermark image.…”

An Efficient Image Steganography Scheme Using Bit-plane Slicing with Elliptic Curve Cryptography and Wavelet Transform

“…A steganography algorithm has been proposed in Ref. [11] where a combination of DWT and hidden region is selected in the DWT domain. A steganography method, where DWT is applied to compress an input image and DFT is applied on the carrier to calculate the coefficients in Ref.…”