An improved capacity data hiding technique based on image interpolation

Ali, Mohammad; Al-Haj, Ali; Farfoura, Mahmoud E.

doi:10.1007/s11042-018-6465-8

Cited by 47 publications

(28 citation statements)

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“…A pseudo-random number generator is used to generate a bitstream of secret message. A comprehensive comparison with the latest related techniques [21] is given. In addition we also present the description of effectiveness of the proposed complexity estimation method.…”

Section: Experimental Setup and Resultsmentioning

confidence: 99%

“…In terms of the percentage increase, the EC of the proposed algorithm is on average 46.46%, 28.73%, and 36.51% higher than [21] for n = 1,2 and 3 respectively. There are two reasons behind such an improved payload capacity: 1) the use of separate bit planes for complexity computation and embedding allows to preserve the pixel differences before and after embedding thereby allowing all the pixels to take part in embedding.…”

Section: A Embedding Capacity and Image Quality Assessmentmentioning

confidence: 90%

“…A method to limit the steganographic distortion by utilizing an adjustable data hiding algorithm is presented in [21]. The method starts by dividing the image into 2x2 overlapping blocks.…”

Section: Related Workmentioning

confidence: 99%

“…EC is an essential unit of measurement since it gives an idea of how the proposed method helps to hide more and more data in the cover image. Table 2 presents the embedding capacity achieved by the proposed method in comparison with [21]. The EC is estimated for seven standard images over varying-parameter n. The proposed method provides highest EC for all values of n.…”

Section: A Embedding Capacity and Image Quality Assessmentmentioning

confidence: 99%

“…2) The use of variable pixel block size for the periphery pixels further adds 1024 pixels to be used in the embedding process. On the contrary the technique of [21] uses only three out of four pixels for embedding in every 2x2 block. Consequently only 75% of the image is available for embedding and remaining 15% is used for calculation of the number of bits per pixel.…”

Section: A Embedding Capacity and Image Quality Assessmentmentioning

confidence: 99%

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An Accurate Texture Complexity Estimation for Quality-Enhanced and Secure Image Steganography

et al. 2020

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Content-adaptive steganography intends to hide data in the complex texture content of the image. Recently, some secure steganography methods have been proposed to identify the textural complexity of an image. However, most of the techniques do not take into account the information of pixel variation around the central pixel in all possible directions and therefore they are unable to accurately analyse the texture complexity. This work offers a quality-enhanced and secure method of content-adaptive image steganography. The proposed method is divided into three sequential steps: image segmentation, pixel complexity identification, and data embedding. An input cover image is initially divided into small local regions and the pixel-complexity is identified based on the proposed Complex Block Prior (CBP) criterion. In a local block, a high pass filter (HPF) bank is applied and eight residual responses are obtained. Following the CBP criterion, a complexity level out of nine levels is assigned to an individualized pixel block. The pixels are then arranged in the priority of complexity from highest to lowest. Data embedding for the corresponding complexity level then takes place using the proposed adaptive embedding algorithm. Experimental results verify the preservation of visual quality of stego images produced by the proposed method. Three image datasets: Standard test images, BOWS2 and BOSS-base are used for the experimentation and comparison with prior state-of-art methods. Highest values of the IQ (image quality) parameters e.g., SSIM and WPSNR show the effectiveness of the proposed method.

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Section: Experimental Setup and Resultsmentioning

confidence: 99%

Section: A Embedding Capacity and Image Quality Assessmentmentioning

confidence: 90%

“…A method to limit the steganographic distortion by utilizing an adjustable data hiding algorithm is presented in [21]. The method starts by dividing the image into 2x2 overlapping blocks.…”

Section: Related Workmentioning

confidence: 99%

Section: A Embedding Capacity and Image Quality Assessmentmentioning

confidence: 99%

Section: A Embedding Capacity and Image Quality Assessmentmentioning

confidence: 99%

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