Saima Kanwal1, Feng Tao1,*, Ahmad Almogren2, Ateeq Ur Rehman3, Rizwan Taj1, Ayman Radwan4
CMES-Computer Modeling in Engineering & Sciences, Vol.134, No.1, pp. 201-219, 2023, DOI:10.32604/cmes.2022.020255
Abstract The authenticity and integrity of healthcare is the primary objective. Numerous reversible watermarking schemes
have been developed to improve the primary objective but increasing the quantity of embedding data leads to
covering image distortion and visual quality resulting in data security detection. A trade-off between robustness,
imperceptibility, and embedded capacity is difficult to achieve with current algorithms due to limitations in their
ability. Keeping this purpose insight, an improved reversibility watermarking methodology is proposed to maximize
data embedding capacity and imperceptibility while maintaining data security as a primary concern. A key is
generated by a random path with minimum bit… More >
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