Combining DWT/KLT for Secure Transfer of Color Images

Hajjaji, Mohamed Ali; Albouchi, Adnen; Mtibaa, Abdellatif

doi:10.1109/dtss.2019.8914838

Cited by 7 publications

(2 citation statements)

References 10 publications

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“…Otherwise, we obtain a false diagnosis. Indeed, the measuring of the PSNR and WPSNR are acceptable when the rate of PSNR and WPSNR gives a [8,14,43]. We begin analyzing the experimental results by determining the PSNR, NCC, and WPSNR, as shown in Figure 11, without the application of attacks.…”

Section: Experiments' Results Of the Watermarking Schemementioning

confidence: 99%

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Crypto-Watermarking Algorithm Using Weber’s Law and AES: A View to Transfer Safe Medical Image

Ajili

Hajjaji

Mtibaa

2021

Scientific Programming

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We propose a novel method for medical image watermarking in the DCT domain using the AES encryption algorithm. First, we decompose the original medical image into subblocks of 8 × 8. Besides, we apply the DCT and the quantization, respectively, to each subblock. However, in the DCT domain, an adequate choice of the DCT coefficients according to the quantization table in the middle frequencies band is performed. After that, we embed the patient’s data into the corresponding medical image. The insertion step is carried out just after the quantization phase. To increase the robustness, we encrypt the watermarked medical images by using the AES algorithm based on chaotic technique. Arnold’s cat map is used to shuffle the pixel values, and a chaotic Henon map is utilized to generate an aleatory sequence for the AES algorithm. The shuffled watermarked image is encrypted using the modified AES algorithm. The constant of Weber is used to choose the suitable visibility factor for embedding a watermark with high robustness. To control identification, after application of attacks, we use the serial turbo code for correction of the watermark to recover the data inserted. The average peak signal-to-noise ratio (PSNR) of the medical images obtained is 61,7769 dB. Experimental results demonstrate the robustness of the proposed schema against various types of attacks.

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Section: Experiments' Results Of the Watermarking Schemementioning

confidence: 99%

“…However, the spatial domain-based watermarking techniques are not robust to most of the image processing operations. Commonly used transform domain techniques are discrete cosine transform (DCT), discrete wavelet transform (DWT), and Karhunen Loeve transforms (KLT) [12][13][14].…”

Section: Introductionmentioning

confidence: 99%