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- W2891945542 abstract "Due to fast development of communication network and multimedia technology, security becomes a critical issue in information trade process over the network. Reversible data hiding is the art and science of imperceptible communication. The main challenge in reversible data hiding lies in finding the best trade-off between the embedding capacity (in terms of bpp) and the reconstructed image quality (in terms of Peak Signal to Noise Ratio). In this work, different image scrambling algorithms are implemented to illustrate the security capability of image for medical and military of scientific use. Different performance parameters such as Similarity index, Mean Absolute Difference, Mean Square Error and Peak Signal to Noise Ratio are carried out for encrypted and reconstructed image. The proposed image scrambling algorithm gives less SSIM for image encryption and high PSNR for recovered image. RDH with slepian wolf coding gives highest embedding rate as compared to other." @default.
- W2891945542 created "2018-09-27" @default.
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- W2891945542 date "2017-08-01" @default.
- W2891945542 modified "2023-09-27" @default.
- W2891945542 title "Distributed Source Encoding for Enhancement of Embedding Payload in Reversible Data Hiding" @default.
- W2891945542 doi "https://doi.org/10.1109/iccubea.2017.8463767" @default.
- W2891945542 hasPublicationYear "2017" @default.
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