Dr. Yijie Lin Profile

Dr. Yijie Lin

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Proceedings Article | 27 May 2024 Paper

Hiding information in a reordered codebook using pairwise adjustments in codewords

Chin-Chen Chang, Jui-Chuan Liu, Ching-Chun Chang, Yijie Lin

Proceedings Volume 13169, 131690C (2024) https://doi.org/10.1117/12.3023916

KEYWORDS: Data hiding, Visualization, Image compression, Received signal strength, Information security, Education and training, Quantization, Image quality, Visual compression, Mathematics

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The fundamental data structure of our proposed scheme is a pixel pair. The pixel values are adjusted through simple yet well-designed equations depending on different conditions. The computation method provides an easy recovery of the original values for the pixel pair as well. For some applications, it’s important to extract the hiding data as well as to recover the original media. In order to apply to a wider range of applications, more and more reversible data hiding (RDH) schemes are introduced or enhanced in the recent decades. Therefore, the two goals of the novel scheme proposed are to increase embedding capacity and to recover original media easily. For vector quantization (VQ) compression, it’s a well-known and efficient method to compress images. A well-trained codebook is crucial to maintain the visual quality of recovered images as good as possible. An index table is generated based on the codebook to full-fill the purpose of compression. Most of studies utilize index tables as the embedding carriers for VQ or VQ-variant compression methods. There are a few state-of-the-art schemes make use of codebooks to embed secret and our proposed scheme extends the study on the codebook embedding. The codewords in a codebook are divided into pixel pairs and secret bits are embedded by adjusting the pixel values of these split pairs to form a stego codebook. During extraction, secret bits are extracted first out from the stego codebook and a recovered codebook is obtained before recovering VQ compressed images.

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