Image Data Compression: Block Truncation Coding (Btc) Techniques
Image Data Compression: Block Truncation Coding (Btc) Techniques
Information Hiding Techniques for Steganography and Digital Watermarking
Information Hiding Techniques for Steganography and Digital Watermarking
A steganographic method based upon JPEG and quantization table modification
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent multimedia computing and networking
Lossless data embedding--new paradigm in digital watermarking
EURASIP Journal on Applied Signal Processing - Emerging applications of multimedia data hiding
A steganographic method for images by pixel-value differencing
Pattern Recognition Letters
A Reversible Data Hiding Scheme with Modified Side Match Vector Quantization
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 1
Hiding secret data in images via predictive coding
Pattern Recognition
A new framework of LSB steganalysis of digital media
IEEE Transactions on Signal Processing - Part II
Detection of LSB steganography via sample pair analysis
IEEE Transactions on Signal Processing
IEEE Transactions on Multimedia
Secure spread spectrum watermarking for multimedia
IEEE Transactions on Image Processing
Color image indexing using BTC
IEEE Transactions on Image Processing
Side match and overlap match vector quantizers for images
IEEE Transactions on Image Processing
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
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Reversible steganography becomes a popular hiding problem in recent years. A reversible steganographicmethod can reconstruct an original image without loss from the stego-image after extracting the embedded data. Unlike traditional reversible methods in which data is hidden in uncompressed images, we propose a reversible scheme for BTC (block truncation coding)-compressed images. The secret data embedded in the compressed image are more difficult to detect than in the uncompressed image. To achieve reversibility, the properties of side matching and BTC-compressed code are applied. The experimental results show that the proposed method is feasible for BTC-compressed images and can embed one more bit in each BTC-encoded block.