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???????????????????? ?????????????? ???????????? ???????????????????? ?????? ?????????? ???????????????? ?? ?????????????? PNG

Abstract

?????????????????????????? ?????????????? ???????????? ???????????????????? ?????? ?????????????? ?????????? ???????????????? ???? ???????????????? ???????????????? ???????????????????? ???? ?????????? ???????????? ???? ?????????????????? ???????????????? ?????????? ???????????????????? ?? ?????????????? PNG. ???????????????? ?????????????????? ?????????????? ?????????? C ?????? ???????????? ???????????????? ???????????? ???????????????? ?????????????????????????? ???? ?????????? ???????????????????????? ????????????????????-?????????????????? ??????????????????. ?????????????? ?????????????? ???????????? ?????????????????????? ???????????? ???????????????????? ???????????????? ?????????????????????? ?????????????????? ?????????????????? ???????????? ACT ?? ?????????????? PNG.

???????????????????? ?????????????? ???????????? ???????????????????? ?????? ???????????? ???????????? ???????????????? ?? ???????????????? ?????????????????? ?????????????????????? ???? ?????????? ?????????? ?? ?????????????? ???????????????? ?????????? ?????????????? ?? ?????????????? PNG. ?????????????????? ?????????????????? ???????????????? ???? ?????????? C ?????? ???????????? ???????????????? ?????????? ???????????????? ?????????????????????????????? ?? ?????????? ???????????????????? ????????????????????-???????????????????? ??????????????????. ?????????????????? ?????????????? ???????????? ?????????????????????? ?????????? ?????????????????? ?????????????????? ???????????????????????? ???????????? ?????????????????????? ???????????? ACT ?? ?????????????? PNG.

The methods are suggested of the choice of a predictor for every line of pixels and the algorithm of laying out of the image on the blocks of lines with the help of the entropy before a compression in the PNG format. The fragments of the programs in the C language for the estimation of the entropy of lines of pixels directly before and after the application of the context-dependent algorithm are presented. The described methods of the choice of predictors of lines make it possible to decrease the coefficients of the compression of a set of the ACT ratios in the PNG format.

Keywords

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  • BIP!
    Impact byBIP!
    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    0
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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