TY - GEN
T1 - Digital watermarking technique using dual tree complex wavelet transform
AU - Meenpal, Ankita
AU - Majumder, S.
AU - Balakrishnan, Ashutosh
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - With the growing advent of data in day to day life, prevention of illegal data distribution is becoming very important. Digital watermarking is an effective way of ensuring the data is not distributed illegally and its being used effectively to stop the malpractices. Hence, the watermark needs to be imperceptible as well as robust from attacks like rotation, cropping and compression. We propose a method of digital watermarking using a novel technique of Dual Tee- Complex Wavelet Transform. The watermark is embedded into the Chrominance levels by converting the RGB image into YUV channels. This is done because the chrominance levels are less perceptible to the human visual system. A perceptual mask is generated using a predefined low pass filter, which adds to the imperceptibility of the watermark. During the watermark extraction process, the inverse of the perceptual mask generated is used. By using DTCWT it is possible to exploit features like directionality and shift invariance which is not possible in other frequency domain techniques like DWT, DCT and DFT.
AB - With the growing advent of data in day to day life, prevention of illegal data distribution is becoming very important. Digital watermarking is an effective way of ensuring the data is not distributed illegally and its being used effectively to stop the malpractices. Hence, the watermark needs to be imperceptible as well as robust from attacks like rotation, cropping and compression. We propose a method of digital watermarking using a novel technique of Dual Tee- Complex Wavelet Transform. The watermark is embedded into the Chrominance levels by converting the RGB image into YUV channels. This is done because the chrominance levels are less perceptible to the human visual system. A perceptual mask is generated using a predefined low pass filter, which adds to the imperceptibility of the watermark. During the watermark extraction process, the inverse of the perceptual mask generated is used. By using DTCWT it is possible to exploit features like directionality and shift invariance which is not possible in other frequency domain techniques like DWT, DCT and DFT.
KW - Digital Watermarking
KW - Directionality
KW - Dual Tree Complex Wavelet Transform
KW - Frequency Domain
KW - Shift Invariance
UR - https://www.scopus.com/pages/publications/85084297227
U2 - 10.1109/ICPC2T48082.2020.9071464
DO - 10.1109/ICPC2T48082.2020.9071464
M3 - Conference contribution
AN - SCOPUS:85084297227
T3 - 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020
SP - 62
EP - 67
BT - 2020 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1st International Conference on Power, Control and Computing Technologies, ICPC2T 2020
Y2 - 3 January 2020 through 5 January 2020
ER -