A blind and high-capacity data hiding of DICOM medical images based on fuzzification concepts
| Autor: | Safia Abbas, A. Ghareeb, Ahmed Elhadad |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Computer science
020209 energy ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 02 engineering and technology 01 natural sciences 010305 fluids & plasmas DICOM Robustness (computer science) 0103 physical sciences 0202 electrical engineering electronic engineering information engineering Discrete cosine transform Preprocessor Image fuzzification Steganography business.industry Compression General Engineering DCT Pattern recognition Engineering (General). Civil engineering (General) Peak signal-to-noise ratio Data Hiding Information hiding Embedding Artificial intelligence TA1-2040 business |
| Zdroj: | Alexandria Engineering Journal, Vol 60, Iss 2, Pp 2471-2482 (2021) |
| ISSN: | 1110-0168 |
| DOI: | 10.1016/j.aej.2020.12.050 |
| Popis: | Data hiding technique using steganography prospered widely due to its high un-detectability, flexibility to the size of hidden data, and robustness against compression and other image processes. Accordingly, this paper aims to use a steganographic technique based on DICOM medical images, where one medical image is used as a cover image, and the other one is used as the secret message image. This method entails three main parts: preprocessing, data embedding based on the discrete cosine transform (DCT), and an extraction process. The performances of the algorithm were evaluated using Magnetic resonance imaging (MRI) dataset, the metrics of the Peak Signal to Noise Ratio (PSNR), the Mean Square Error (MSE), the Structural Similarity Index (SSIM), the Universal Quality Index (UQI), and the correlation coefficient (R) values. The experimental results scored a high PSNR after the embedding process and high capacity of the hidden data by embedding a DICOM image into another DICOM image of the same size. |
| Databáze: | OpenAIRE |
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