Most data embedding techniques proposed so far lead to distortions in the original image. These 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 are changed into the usable groups. Secondly, a discrimination function f is modified to improve the embedding capacity. We provide experimental results to demonstrate the effectiveness of our proposed algorithm.
CITATION STYLE
Lee, H., & Rhee, K. (2006). High capacity lossless data hiding. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4332 LNCS, pp. 326–336). Springer Verlag. https://doi.org/10.1007/11961635_23
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