By Frank Y. Shih
Creation electronic Watermarking electronic Steganography variations among Watermarking and Steganography a short background Appendix: chosen checklist of Books on Watermarking and Steganography type in electronic Watermarking category according to features class in accordance with functions Mathematical Preliminaries Least-Significant-Bit Substitution Discrete Fourier rework (DFT) Discrete Cosine rework Discrete Wavelet rework Random series iteration The Chaotic Map blunders Correction Code Set Partitioning in Hierarchical Tree electronic Waterm. Read more...
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Extra info for Digital Watermarking and Steganography : Fundamentals and Techniques
57, the curves complete chaotic periodicity. 9, 4), the chaotic values are in the range of (0, 1). 13) 1 1 where det = 1 or − 1, and l and N respectively denote an integer and l l + 1 the width of a square image. 13. 8(a)) on an image of size 101 × 101, which contains a short horizontal line. 8(e). We observe that the neighboring pixels are now scattered everywhere around the image. 2 lists the coordinate change of each pixel using the chaotic map. 9(a) shows a Lena image of size 101 × 101.
Once the recipient obtains the watermarked image, she knows the exact locations from which to extract the watermark. During the watermark embedding procedure, the watermark is first converted into a bitstream. Then, each bit of the bitstream is embedded into the specific bit of selected locations for the host image. , embedding 1, 0, and 1 into 50, 50 and 48, respectively). indd 33 11/14/07 5:54:25 PM 34 Digital Watermarking and Steganography: Fundamentals and Techniques Host Image Select Pixels 50 50 48 ...
Therefore, chaotic maps are very useful in watermarking and encryption. 7 The pixel information in four different strategies of random sequence generation. 1 Pixel Information after Random Sequence Generation Original Index 5200 5201 5202 5203 5204 5205 5206 5207 5208 5209 5210 Binary Format 01010001010000 01010001010001 01010001010010 01010001010011 01010001010100 01010001010101 01010001010110 01010001010111 01010001011000 01010001011001 01010001011010 Original 2D Location Move the 13th Bit to the Rear New Index New 2D Location (80, 40) (81, 40) (82, 40) (83, 40) (84, 40) (85, 40) (86, 40) (87, 40) (88, 40) (89, 40) (90, 40) 10100010100000 10100010100010 10100010100100 10100010100110 10100010101000 10100010101010 10100010101100 10100010101110 10100010110000 10100010110010 1010001011010 10400 10402 10404 10406 10408 10410 10412 10414 10416 10418 10420 (32, 81) (34, 81) (36, 81) (38, 81) (40, 81) (42, 81) (44, 81) (46, 81) (48, 81) (50, 81) (52, 81) The iterative values generated from chaotic functions are completely random in nature and never converge, although they are limited within a range.