Selected article for: "SVD singular value decomposition and value decomposition"

Author: Boussif, M.; Bouferas, O.; Aloui, N.; Cherif, A.
Title: A Novel Robust Blind AES/LWT+DCT+SVD-Based Crypto-Watermarking schema for DICOM Images Security
  • Cord-id: oiyztoaa
  • Document date: 2021_1_1
  • ID: oiyztoaa
    Snippet: In this paper, we propose a novel robust blind crypto-watermarking method for medical images security based on hiding of DICOM (Digital Imaging and Communications in Medicine) patient information (patient name, patient ID, patient old..) in the medical imaging. The DICOM patient information are encrypted using the AES (Advanced Encryption Standard) standard algorithm before its insertion in the medical imaging. The medical imaging is divided in blocks of 8x8, in each we insert 1-bit of the encry
    Document: In this paper, we propose a novel robust blind crypto-watermarking method for medical images security based on hiding of DICOM (Digital Imaging and Communications in Medicine) patient information (patient name, patient ID, patient old..) in the medical imaging. The DICOM patient information are encrypted using the AES (Advanced Encryption Standard) standard algorithm before its insertion in the medical imaging. The medical imaging is divided in blocks of 8x8, in each we insert 1-bit of the encrypted watermark in the hybrid transform domain by applying respectively the 2D-LWT (Lifting wavelet transforms), the 2D-DCT (discrete cosine transforms), and the SVD (singular value decomposition). The scheme is tested by applying various attacks such as noise, filtering and compression. Experimental results show that the watermark (patient information) is imperceptible in the imaging and the test against attack shows the good robustness of the proposed algorithm. © 2021 IEEE.

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