Is Huffman coding dead? (extended abstract)
SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
Arithmetic coding for data compression
Communications of the ACM
Introduction to data compression
Introduction to data compression
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Managing gigabytes (2nd ed.): compressing and indexing documents and images
Reversible watermarking algorithm using sorting and prediction
IEEE Transactions on Circuits and Systems for Video Technology
A Novel Difference Expansion Transform for Reversible Data Embedding
IEEE Transactions on Information Forensics and Security
Reversible watermark using the difference expansion of a generalized integer transform
IEEE Transactions on Image Processing
Reversible data embedding into images using wavelet techniques and sorting
IEEE Transactions on Image Processing
Expansion Embedding Techniques for Reversible Watermarking
IEEE Transactions on Image Processing
Context-based adaptive binary arithmetic coding in the H.264/AVC video compression standard
IEEE Transactions on Circuits and Systems for Video Technology
Reversible data embedding using a difference expansion
IEEE Transactions on Circuits and Systems for Video Technology
IEEE Transactions on Circuits and Systems for Video Technology
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This paper presents a new lossless data compression method which can be used for the next-generation image and video codec. As an alternative system for CABAC (Context Adaptive Binary Arithmetic Coder), a new binary coding algorithm is introduced. However, this method can be applicable to any kind of symbols. Efficiency of the codec in terms of compression ratio and computational complexity is introduced. Basic idea behind the proposed method is hiding data reversibly with a location map.