TIIS (한국인터넷정보학회)
Current Result Document :
| 한글제목(Korean Title) |
Sharing a Large Secret Image Using Meaningful Shadows Based on VQ and Inpainting |
| 영문제목(English Title) |
Sharing a Large Secret Image Using Meaningful Shadows Based on VQ and Inpainting |
| 저자(Author) |
Zhi-Hui Wang
Kuo-Nan Chen
Chin-Chen Chang
Chuan Qin
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| 원문수록처(Citation) |
VOL 09 NO. 12 PP. 5170 ~ 5188 (2015. 12) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
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.
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| 키워드(Keyword) |
Vector Quantization
EMD
secret sharing
image inpainting
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| 파일첨부 |
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