Lossless data hiding for high embedding capacity

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Abstract

Embedding distortions create problems in some areas such as medical, astronomical, and military imagery. Lossless data hiding is an exact restoration approach for recovering the original image from the stego image. In this paper, we present a lossless data embedding technique with a higher embedding capacity. We propose two lossless data embedding methods; first, a part of the unusable groups U is changed into the usable groups. Secondly, a discrimination function f is modified to improve the embedding capacity, and we are changed the value of an accumulating block in order to improve the embedding capacity. We provide experimental results to demonstrate the effectiveness of our proposed algorithm.

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APA

Lee, H., & Rhee, K. (2006). Lossless data hiding for high embedding capacity. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4317, pp. 424–437). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/11951957_37

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