Abstract
Hiding data in digital images is a technique for secret data communication. It involves embedding important data into a cover image in digital form with minimal perceptible degradation. In this paper, we first propose an improved data hiding method for side-match vector quantization (SMVQ) compressed images, which utilizes the codeword-pairing procedure to modulate the index code of each image block. In order to take it a step further and obtain a larger embedding capacity, we remodel the first proposed method into a new one with the power of variable-rate data embedding through the use of a multiple-base notational system. According to the experimental results, the two proposed methods are indeed capable of providing a larger embedding capacity without causing noticeable distortions of stego-images in comparison with previous methods. Moreover, our methods also maintain a low compression bit-rate without auxiliary data.
Original language | English |
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Pages (from-to) | 3543-3556 |
Number of pages | 14 |
Journal | Information Sciences |
Volume | 178 |
Issue number | 18 |
DOIs | |
State | Published - 15 09 2008 |
Externally published | Yes |
Keywords
- Clustering
- Image compression
- Quantization index modulation
- Side-match VQ