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JPEG2000 - image compression fundamentals, standards and practice
Trellis coded quantization of memoryless and Gauss-Markov sources
The authors adopt the notions of signal set expansion, set partitioning, and branch labeling of TCM, but modify the techniques to account for the source distribution, to design TCQ coders of low complexity with excellent mean-squared-error (MSE) performance.
JPEG2000 Image Compression Fundamentals, Standards and Practice
This work has specific applications for those involved in the development of software and hardware solutions for multimedia, internet, and medical imaging applications.
Adaptive reconstruction of phased array MR imagery
Experimental results indicate SNR performance approaching that of the optimal matched filter and the technique enables near‐optimal reconstruction of multicoil MR imagery without a‐priori knowledge of the individual coil field maps or noise correlation structure.
An overview of JPEG-2000
- M. Marcellin, M. Gormish, A. Bilgin, M. Boliek
- Computer ScienceProceedings DCC . Data Compression Conference
- 28 March 2000
This paper describes JPEG-2000 from the point of view of encoding, as it believes it is more amenable to a compact description more easily understood by most readers.
JPEG2000: standard for interactive imaging
A tutorial-style review of the new JPEG2000, explaining the technology on which it is based and drawing comparisons with JPEG and other compression standards is provided.
Comparison of different methods of classification in subband coding of images
A new method of classification based on vector quantization of AC energy n-tuples formed by energies of blocks which correspond to the same spatial location in the original image but belong to different subbands, which allows us to reduce the side information at the same time maximizing classification gain for each band under the vector constraint.
Compression of electrocardiogram signals using JPEG2000
The goal of this paper is to demonstrate how the JPEG2000 codec can be used to compress electrocardiogram (ECG) data, and to demonstrate the ECG application as an example that can be extended to other signals that exist within the consumer electronics realm.
Compression of hyperspectral imagery using the 3-D DCT and hybrid DPCM/DCT
Two systems are presented for compression of hyperspectral imagery which utilize trellis coded quantization (TCQ) and DPCM to spectrally decorrelate the data, while a 2D DCT coding scheme is used for spatial decorrelation.
Three-dimensional image compression with integer wavelet transforms.
A three-dimensional (3-D) image-compression algorithm based on integer wavelet transforms and zerotree coding is presented, which efficiently encodes 3-D image data by the exploitation of the dependencies in all dimensions, while enabling lossy and lossless decompression from the same bit stream.