Results 241 to 250 of about 131,990 (294)

Adaptive Entropy-coded Subband Coding Of Images

Proceedings. 1991 IEEE International Symposium on Information Theory, 1992
The authors describe a design approach, called 2-D entropy-constrained subband coding (ECSBC), based upon recently developed 2-D entropy-constrained vector quantization (ECVQ) schemes. The output indexes of the embedded quantizers are further compressed by use of noiseless entropy coding schemes, such as Huffman or arithmetic codes, resulting in ...
Y H, Kim, J W, Modestino
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Entropy Coding and Entropy Coding Improvements of JPEG XS

2018 Data Compression Conference, 2018
JPEG XS is a new standard for low-latency and low-complexity coding designed by the JPEG committee. Unlike former developments, optimal rate distortion performance is only a secondary goal; the focus of JPEG~XS is to enable cost-efficient, easy to parallelize implementations suitable for FPGAs or GPUs. In this article, we shed some light on the entropy
Thomas Richter   +3 more
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Entropy-constrained trellis coded quantization

[1991] Proceedings. Data Compression Conference, 1992
Summary: Trellis-coded quantization is generalized to allow noiseless coding of the trellis branch reproduction symbols. An entropy-constrained trellis- coded quantization (ECTCQ) design algorithm is presented, based on the generalized Lloyd algorithm for trellis code design and the entropy- constrained vector quantization design algorithm.
Fischer, Thomas R., Wang, Min
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Block truncation coding with entropy coding

IEEE Transactions on Communications, 1995
Block truncation coding (BTC) is a simple and fast image compression algorithm which achieves a constant bit rate of 2.0 bits per pixel. The method is however suboptimal. We propose a modification of BTC in which the compression ratio is improved by coding the quantization data and the bit plane by arithmetic coding with an adaptive modelling scheme ...
P. Franti, O. Nevalainen
openaire   +1 more source

Interleaving entropy codes

Proceedings. Compression and Complexity of SEQUENCES 1997 (Cat. No.97TB100171), 2002
The paper addresses several issues involved in interleaving compressed output from multiple non-prefix codes or from a combination of prefix and non-prefix codes. The technique used throughout is decoder-synchronized encoding, in which the encoder manipulates the data stream to allow just-in-time decoding.
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A scalable entropy code

Proceedings DCC '98 Data Compression Conference (Cat. No.98TB100225), 2002
Summary form only given. We present an algorithm for constructing entropy codes that allow progressive transmission. The algorithm constructs codes by forming an unbalanced tree in a similar to fashion to Huffman coding. It differs, however, in that nodes are combined in a rate-distortion sense. Because nodes are formed with both rate and distortion in
T. Verma, T. Meng
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Finding Minimum Entropy Codes

Neural Computation, 1989
To determine whether a particular sensory event is a reliable predictor of reward or punishment it is necessary to know the prior probability of that event. If the variables of a sensory representation normally occur independently of each other, then it is possible to derive the prior probability of any logical function of the variables from the prior
H.B. Barlow   +2 more
openaire   +1 more source

Entropy Constrained Fractal Image Coding

Fractals, 1997
In this paper we present an entropy constrained fractal coding scheme. In order to get high compression rates, previous fractal coders used hierarchical coding schemes with variable range block sizes. Our scheme uses constant range block sizes, but the complexity of the fractal transformations is adapted to the image contents.
openaire   +2 more sources

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