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Description
  • The deterministic blurring and noising in pictures captured by a camera with CCD/CMOS sensor can be fairly simulated as the true image transmission through some kind of ISI channel (blurring) and consequently through certain random IECS-ML channel (noising). Hence for purposes of image restoration we can use the maximal a posteriori probability (MAP) criterion based iterative detection network (IDN), that is powered by the noise model and contains a number of mutually concatenated functional blocks so-called soft inversions (SISOs). This cellular structure makes an IDN suboptimal but also numerically very simple and practically applicable in contrast to an unviable optimal (single-stage) MAP detector. This paper is dedicated to the detailed description of the comprehensive noise model that controls the IECS-ML channel and that is applied in the IDN front-end, so-called the soft output demodulator (SODEM).
  • The deterministic blurring and noising in pictures captured by a camera with CCD/CMOS sensor can be fairly simulated as the true image transmission through some kind of ISI channel (blurring) and consequently through certain random IECS-ML channel (noising). Hence for purposes of image restoration we can use the maximal a posteriori probability (MAP) criterion based iterative detection network (IDN), that is powered by the noise model and contains a number of mutually concatenated functional blocks so-called soft inversions (SISOs). This cellular structure makes an IDN suboptimal but also numerically very simple and practically applicable in contrast to an unviable optimal (single-stage) MAP detector. This paper is dedicated to the detailed description of the comprehensive noise model that controls the IECS-ML channel and that is applied in the IDN front-end, so-called the soft output demodulator (SODEM). (en)
Title
  • The advanced noise model for an IDN based restoration of black and white pictures captured by a camera with CCD/CMOS sensor
  • The advanced noise model for an IDN based restoration of black and white pictures captured by a camera with CCD/CMOS sensor (en)
skos:prefLabel
  • The advanced noise model for an IDN based restoration of black and white pictures captured by a camera with CCD/CMOS sensor
  • The advanced noise model for an IDN based restoration of black and white pictures captured by a camera with CCD/CMOS sensor (en)
skos:notation
  • RIV/68407700:21230/08:00146021!RIV10-MSM-21230___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • Z(MSM6840770014)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 354999
http://linked.open...ai/riv/idVysledku
  • RIV/68407700:21230/08:00146021
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • CCD (CMOS) noise; Iterative detection network; Maximal a posteriori probability criterion; Quantization noise; Random memory-less channel with independent eliminated states; Readout noise; Soft output demodulator; Soft-In soft-out module (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8E31AA97502B]
http://linked.open...v/mistoKonaniAkce
  • Prague
http://linked.open...i/riv/mistoVydani
  • Piscataway
http://linked.open...i/riv/nazevZdroje
  • Proceedings of 42nd Annual 2008 IEEE International Carnahan Conference on Security Technology
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Klíma, Miloš
  • Kekrt, Daniel
http://linked.open...vavai/riv/typAkce
http://linked.open...ain/vavai/riv/wos
  • 000264043000024
http://linked.open.../riv/zahajeniAkce
http://linked.open...n/vavai/riv/zamer
number of pages
http://purl.org/ne...btex#hasPublisher
  • IEEE
https://schema.org/isbn
  • 978-1-4244-1816-9
http://localhost/t...ganizacniJednotka
  • 21230
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