TY - GEN
T1 - DFT-based watermarking method for medical images
AU - Cedillo-Hernandez, Manuel
AU - Garcia-Ugalde, Francisco J.
AU - Nakano-Miyatake, Mariko
AU - Perez-Meana, Hector M.
PY - 2012
Y1 - 2012
N2 - We present a robust DFT-based watermarking method applied to medical imaging stored in DICOM standard format. The watermark is a 1-D binary pseudo-random pattern generated by a secret key which is embedded into the magnitude of the DFT middle frequencies of the original image in order to preserve a high quality perception. To increase security of the watermark, data bits are scrambled using a secret key. During the extraction stage, watermark data bits are extracted, re-arranged with the same secret key used in the embedding process and detected using the bit error rate (BER) criteria. The watermarked image quality is measured using the Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM). The experimental results show the watermark robustness against Rotation, Scaling and Translation (RST) geometric distortions and some common signal processing operations, including DICOM compression schemes, additive Gaussian and impulsive noise, Gaussian and median filtering, sharpness, contrast and brightness changes.
AB - We present a robust DFT-based watermarking method applied to medical imaging stored in DICOM standard format. The watermark is a 1-D binary pseudo-random pattern generated by a secret key which is embedded into the magnitude of the DFT middle frequencies of the original image in order to preserve a high quality perception. To increase security of the watermark, data bits are scrambled using a secret key. During the extraction stage, watermark data bits are extracted, re-arranged with the same secret key used in the embedding process and detected using the bit error rate (BER) criteria. The watermarked image quality is measured using the Peak Signal to Noise Ratio (PSNR) and Structural Similarity Index (SSIM). The experimental results show the watermark robustness against Rotation, Scaling and Translation (RST) geometric distortions and some common signal processing operations, including DICOM compression schemes, additive Gaussian and impulsive noise, Gaussian and median filtering, sharpness, contrast and brightness changes.
KW - Copyright protection
KW - DICOM standard
KW - Digital watermarking
KW - Geometric distortions
KW - Medical imaging
UR - http://www.scopus.com/inward/record.url?scp=84880864668&partnerID=8YFLogxK
U2 - 10.1109/CERMA.2012.11
DO - 10.1109/CERMA.2012.11
M3 - Contribución a la conferencia
AN - SCOPUS:84880864668
SN - 9780769548784
T3 - Proceedings - 2012 9th Electronics, Robotics and Automotive Mechanics Conference, CERMA 2012
SP - 21
EP - 24
BT - Proceedings - 2012 9th Electronics, Robotics and Automotive Mechanics Conference, CERMA 2012
T2 - 2012 9th Electronics, Robotics and Automotive Mechanics Conference, CERMA 2012
Y2 - 19 November 2012 through 23 November 2012
ER -