Sharing a Large Secret Image Using Meaningful Shadows Based on VQ and Inpainting
| Autor: | Zhi-Hui Wang, Kuo-Nan Chen, Chuan Qin, Chin-Chen Chang |
|---|---|
| Rok vydání: | 2015 |
| Předmět: |
Steganography
Computer Networks and Communications business.industry Image quality Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Codebook Vector quantization Inpainting Pattern recognition Secret sharing Information hiding Computer vision Artificial intelligence business Decoding methods Information Systems |
| Zdroj: | KSII Transactions on Internet and Information Systems. 9 |
| ISSN: | 1976-7277 |
| DOI: | 10.3837/tiis.2015.12.024 |
| Popis: | This paper proposes a novel progressive secret image-hiding scheme based on the inpainting technique, the vector quantization technique (VQ) and the exploiting modification direction (EMD) technique. The proposed scheme first divides the secret image into non-overlapping blocks and categorizes the blocks into two groups: complex and smooth. The blocks in the complex group are compressed by VQ with PCA sorted codebook to obtain the VQ index table. Instead of embedding the original secret image, the proposed method progressively embeds the VQ index table into the cover images by using the EMD technique. After the receiver recovers the complex parts of the secret image by decoding the VQ index table from the shadow images, the smooth parts can be reconstructed by using the inpainting technique based on the content of the complex parts. The experimental results demonstrate that the proposed scheme not only has the advantage of progressive data hiding, which involves more shadow images joining to recover the secret image so as to produce a higher quality steganography image, but also can achieve high hiding capacity with acceptable recovered image quality. |
| Databáze: | OpenAIRE |
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