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  • The paper is focused on the statistical comparison of the selected compression methods which are used for compression of the binary images. The aim is to asses, which of presented compression method for low-memory system requires less number of bytes of memory. For assessment of the success rates of the input image to binary image the correlation functions are used. Correlation function is one of the methods of OCR algorithm used for the digitization of printed symbols. Using of compression methods is necessary for systems based on low-power micro-controllers. The data stream saving is very important for such systems with limited memory as well as the time required for decoding the compressed data. The success rate of the selected compression algorithms is evaluated using the basic characteristics of the exploratory analysis. The searched samples represent the amount of bytes needed to compress the test images, representing alphanumeric characters.
  • The paper is focused on the statistical comparison of the selected compression methods which are used for compression of the binary images. The aim is to asses, which of presented compression method for low-memory system requires less number of bytes of memory. For assessment of the success rates of the input image to binary image the correlation functions are used. Correlation function is one of the methods of OCR algorithm used for the digitization of printed symbols. Using of compression methods is necessary for systems based on low-power micro-controllers. The data stream saving is very important for such systems with limited memory as well as the time required for decoding the compressed data. The success rate of the selected compression algorithms is evaluated using the basic characteristics of the exploratory analysis. The searched samples represent the amount of bytes needed to compress the test images, representing alphanumeric characters. (en)
Title
  • Statistical analysis of compression methods for storing binary image for low-memory systems
  • Statistical analysis of compression methods for storing binary image for low-memory systems (en)
skos:prefLabel
  • Statistical analysis of compression methods for storing binary image for low-memory systems
  • Statistical analysis of compression methods for storing binary image for low-memory systems (en)
skos:notation
  • RIV/61989100:27240/13:86087268!RIV14-TA0-27240___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
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  • P(TA01010632), S
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  • 4
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  • 107752
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  • RIV/61989100:27240/13:86087268
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  • Testing of statistical hypotheses; Image recognition; Exploratory analysis; Data compression (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • SK - Slovenská republika
http://linked.open...ontrolniKodProRIV
  • [DA284F6E6587]
http://linked.open...i/riv/nazevZdroje
  • Advances in Electrical and Electronic Engineering
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http://linked.open...v/svazekPeriodika
  • 11
http://linked.open...iv/tvurceVysledku
  • Hercík, Radim
  • Slabý, Roman
  • Nowaková, Jana
issn
  • 1336-1376
number of pages
http://localhost/t...ganizacniJednotka
  • 27240
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