Compression of two-dimensional data
IEEE Transactions on Information Theory
Adaptive Linear Prediction Lossless Image Coding
DCC '99 Proceedings of the Conference on Data Compression
DCC '00 Proceedings of the Conference on Data Compression
Efficient general-purpose image compression with binary tree predictive coding
IEEE Transactions on Image Processing
Lossless compression of continuous-tone images via context selection, quantization, and modeling
IEEE Transactions on Image Processing
IEEE Transactions on Image Processing
The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS
IEEE Transactions on Image Processing
An analysis of some common scanning techniques for lossless image coding
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
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Methods of lossless compression of medical image data are considered in this paper. Chosen classes of efficient algorithms were constructed, examined and optimised to conclude the most useful tools for creation of medical image representation. 2-D context-based prediction schemes, and statistical models of entropy coder were fitted to different characteristics of US, MR and CT images. The SSM technique of suitable-to-image characteristics scanning followed by statistical modelling of the context in arithmetic coder was found out as the most effective in most cases. Average bit rate value over test images is equal to 2.54 bpp for SSM coder and significantly overcomes 2.92 bpp achieved for CALIC. Efficient hybrid encoding method (SHEC) was proposed as a complex tool for medical image archiving and transmission. SHEC develops SSM by including CALIC-like coder for archiving the highest quality images and JPEG2000-like wavelet coder for transmission of high and middle quality images in telemedicine systems.