|
|
|
|
| LEADER |
01000naa a22002652 4500 |
| 001 |
NLM150510284 |
| 003 |
DE-627 |
| 005 |
20231223054017.0 |
| 007 |
tu |
| 008 |
231223s2004 xx ||||| 00| ||eng c |
| 028 |
5 |
2 |
|a pubmed24n0502.xml
|
| 035 |
|
|
|a (DE-627)NLM150510284
|
| 035 |
|
|
|a (NLM)15376585
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rakwb
|
| 041 |
|
|
|a eng
|
| 100 |
1 |
|
|a Forchhammer, Søren
|e verfasserin
|4 aut
|
| 245 |
1 |
0 |
|a Optimal context quantization in lossless compression of image data sequences
|
| 264 |
|
1 |
|c 2004
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 500 |
|
|
|a Date Completed 12.10.2004
|
| 500 |
|
|
|a Date Revised 10.12.2019
|
| 500 |
|
|
|a published: Print
|
| 500 |
|
|
|a Citation Status MEDLINE
|
| 520 |
|
|
|a In image compression context-based entropy coding is commonly used. A critical issue to the performance of context-based image coding is how to resolve the conflict of a desire for large templates to model high-order statistic dependency of the pixels and the problem of context dilution due to insufficient sample statistics of a given input image. We consider the problem of finding the optimal quantizer Q that quantizes the K-dimensional causal context Ct = (Xt-t1,Xt-t2,...,X t-tK) of a source symbol Xt into one of a set of conditioning states. The optimality of context quantization is defined to be the minimum static or minimum adaptive code length of given a data set. For a binary source alphabet an optimal context quantizer can be computed exactly by a fast dynamic programming algorithm. Faster approximation solutions are also proposed. In case of m-ary source alphabet a random variable can be decomposed into a sequence of binary decisions, each of which is coded using optimal context quantization designed for the corresponding binary random variable. This optimized coding scheme is applied to digital maps and alpha-plane sequences. The proposed optimal context quantization technique can also be used to establish a lower bound on the achievable code length, and hence is a useful tool to evaluate the performance of existing heuristic context quantizers
|
| 650 |
|
4 |
|a Comparative Study
|
| 650 |
|
4 |
|a Evaluation Study
|
| 650 |
|
4 |
|a Journal Article
|
| 650 |
|
4 |
|a Validation Study
|
| 700 |
1 |
|
|a Wu, Xiaolin
|e verfasserin
|4 aut
|
| 700 |
1 |
|
|a Andersen, Jakob Dahl
|e verfasserin
|4 aut
|
| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
|d 1992
|g 13(2004), 4 vom: 10. Apr., Seite 509-17
|w (DE-627)NLM09821456X
|x 1941-0042
|7 nnns
|
| 773 |
1 |
8 |
|g volume:13
|g year:2004
|g number:4
|g day:10
|g month:04
|g pages:509-17
|
| 912 |
|
|
|a GBV_USEFLAG_A
|
| 912 |
|
|
|a SYSFLAG_A
|
| 912 |
|
|
|a GBV_NLM
|
| 912 |
|
|
|a GBV_ILN_350
|
| 951 |
|
|
|a AR
|
| 952 |
|
|
|d 13
|j 2004
|e 4
|b 10
|c 04
|h 509-17
|