Digital image processing (2nd ed.)
Digital image processing (2nd ed.)
A Theory for Multiresolution Signal Decomposition: The Wavelet Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
The image processing handbook
The JPEG still picture compression standard
Communications of the ACM - Special issue on digital multimedia systems
Ten lectures on wavelets
An introduction to wavelets
Wavelets and subband coding
Arithmetic coding for data compression
Communications of the ACM
Wavelet Image and Video Compression
Wavelet Image and Video Compression
JPEG2000: the upcoming still image compression standard
Pattern Recognition Letters
IEEE Computational Science & Engineering
JPEG2000: Highly Scalable Image Compression
ITCC '01 Proceedings of the International Conference on Information Technology: Coding and Computing
Working with JPEG2000: Two Proposals for Sparse Histogram Images
ICIAP '03 Proceedings of the 12th International Conference on Image Analysis and Processing
IBM Journal of Research and Development
Embedded image coding using zerotrees of wavelet coefficients
IEEE Transactions on Signal Processing
Run-length encodings (Corresp.)
IEEE Transactions on Information Theory
Universal trellis coded quantization
IEEE Transactions on Image Processing
High performance scalable image compression with EBCOT
IEEE Transactions on Image Processing
Mathematical properties of the JPEG2000 wavelet filters
IEEE Transactions on Image Processing
Mutual information-based analysis of JPEG2000 contexts
IEEE Transactions on Image Processing
Nonlinear image representation for efficient perceptual coding
IEEE Transactions on Image Processing
Image coding using wavelet transform
IEEE Transactions on Image Processing
A new, fast, and efficient image codec based on set partitioning in hierarchical trees
IEEE Transactions on Circuits and Systems for Video Technology
Prioritized region of interest coding in JPEG2000
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we propose the embedding of a prediction mechanism into a part of the coding structure of JPEG2000 image compression standard, in order to reduce the amount of bits sent to the arithmetic coder, without any significant changes into the standard architecture and without loosing performance. The prediction is based upon an innovative processing of the data structures used by the standard JPEG2000 in progressive coding and the addition of a Prediction Matrix, whose computation does not add any overhead at the decoder side. Experiments are performed to test the efficacy of the prediction mechanism, and results are compared to the standard JPEG2000 and other similar approaches. Tests are documented over a set of well-known images from literature, also against different kinds of added noise. Performance, in terms of saved bits are reported, and a new figure of merit is defined to test the efficiency of Prediction. The results prove that the new proposal overcomes the standard and other related approaches for the entire set of referenced images, with significant gain in synthetic images, also in presence of noise.