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Title of Journal: Multimed Tools Appl

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Abbravation: Multimedia Tools and Applications

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Springer US

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DOI

10.1007/bf02461657

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1573-7721

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Adaptive image data hiding using transformation an

Authors: Naveed Ejaz Jamil Anwar M Ishtiaq Sung Wook Baik
Publish Date: 2013/02/16
Volume: 73, Issue: 2, Pages: 825-840
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Abstract

Watermarking is popular method for effective copyright protection of digital data The invisible image watermarking is a type of watermarking which is used to conceal secret information in a cover image In any watermarking system there is a tradeoff between imperceptibility and payload of the data to be hidden in the cover medium Therefore only a limited amount of data can be concealed in the cover image while watermark remain imperceptible This paper proposes a new method of adaptive blind digital image data hiding in Discrete Cosine Transform DCT domain using Minimum Error Lease Significant Bit Replacement MELSBR method and Genetic Algorithm GA In the proposed method the secret image is embedded into the DCT transformed cover image Initially the host and the secret image both are partitioned into equal sized blocks Then for each secret image block host image block is intelligently selected through GA and is embedded using MELSBR method GA helps in identifying the target cover image blocks such that with the LSB embedding both visual quality of the cover image and imperceptibility of the secret image remain least affected In watermark extraction process the watermarked image is decomposed into equal sized blocks and then using the Jigsaw Puzzle Solver JPS the secret image is reconstructed In spite of doubling the payload of the data to hide the experimental results have shown better imperceptibility and robustness results of the proposed method as compared to the current approaches in this domain

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