Optimization design of biorthogonal filter banks for image compression
Information Sciences: an International Journal
Optimal encoding of non-stationary sources
Information Sciences: an International Journal - Dictionary based compression
Information Sciences: an International Journal - Dictionary based compression
JPEG 2000: Image Compression Fundamentals, Standards and Practice
JPEG 2000: Image Compression Fundamentals, Standards and Practice
Remote interactive browsing of video surveillance content based on JPEG 2000
IEEE Transactions on Circuits and Systems for Video Technology
Distortion estimators for bitplane image coding
IEEE Transactions on Image Processing
Robust watermarking and compression for medical images based on genetic algorithms
Information Sciences: an International Journal
Information Sciences: an International Journal
Low complexity, and high fidelity image compression using fixed threshold method
Information Sciences: an International Journal
3-D medical image compression using 3-D wavelet coders
Digital Signal Processing
Enhanced JPEG2000 quality scalability through block-wise layer truncation
EURASIP Journal on Advances in Signal Processing
Fast decoding algorithms for variable-lengths codes
Information Sciences: an International Journal
Line-based, reduced memory, wavelet image compression
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
Hyperspectral Image Compression: Adapting SPIHT and EZW to Anisotropic 3-D Wavelet Coding
IEEE Transactions on Image Processing
JPEG2000 Quality Scalability Without Quality Layers
IEEE Transactions on Circuits and Systems for Video Technology
Stationary Probability Model for Bitplane Image Coding Through Local Average of Wavelet Coefficients
IEEE Transactions on Image Processing
Fusion of supervised and unsupervised learning for improved classification of hyperspectral images
Information Sciences: an International Journal
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This paper describes a low-complexity, high-efficiency, lossy-to-lossless 3D image coding system. The proposed system is based on a novel probability model for the symbols that are emitted by bitplane coding engines. This probability model uses partially reconstructed coefficients from previous components together with a mathematical framework that captures the statistical behavior of the image. An important aspect of this mathematical framework is its generality, which makes the proposed scheme suitable for different types of 3D images. The main advantages of the proposed scheme are competitive coding performance, low computational load, very low memory requirements, straightforward implementation, and simple adaptation to most sensors.