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⇄name => string (46) "Beitrag zu wissenschaftlicher Konferenz/Tagung"

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⇄slug => string (50) "417_beitrag-zu-wissenschaftlicher-konferenz-tagung"

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• Table (4)
• Contents (4)

• name
  link
  intern
  personenkennziffer
  0
  Hannah Och
  false
  1
  Shabhrish Uddehal
  true
  2
  Tilo Strutz
  https://www.hs-coburg.de/personen/prof-dr-tilo-strutz/
  true
  3
  André Kaup
  false
  

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  ⇄name => string (10) "Hannah Och"

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  ⇄⧉1 => array (4)

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  ⇄name => string (17) "Shabhrish Uddehal"

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  ⇄link => string (0) ""

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  ⇄⧉2 => array (4)

  $post['autoren'][2]

  ⇄name => string (11) "Tilo Strutz"

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  ⇄link => string (54) "https://www.hs-coburg.de/personen/prof-dr-tilo-strutz/"

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  ⇄⧉3 => array (4)

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  ⇄name => UTF-8 string (11) "André Kaup"

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'24), 14-19 April 2024, Seoul, South Korea, accepted for publication

<p>Soft context formation is a lossless image coding method for screen content. It encodes images pixel by pixel via arithmetic coding by collecting statistics for probability distribution estimation. Its main pipeline includes three stages, namely a context model based stage, a color palette stage and a residual coding stage. Each stage is only employed if the previous stage is impossible since necessary statistics, e.g. colors or contexts, have not been learned yet. We propose the following enhancements: First, information from previous stages is used to remove redundant palette entries and prediction errors in subsequent stages. Additionally, implicitly known stage decision signals are no longer explicitly transmitted. These enhancements lead to an average bit rate decrease of 1.16% on the evaluated data. Compared to FLIF and HEVC, the proposed method needs roughly 0.28 and 0.17 bits per pixel less on average for 24-bit screen content images, respectively.<br></p>

Och, Hannah; Uddehal, Shabhrish; Strutz, Tilo; Kaup, André (2024): Enhanced color palette modeling for lossless screen content. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP'24), 14-19 April 2024, Seoul, South Korea, accepted for publication 2024, S. 3670 - 3674. DOI: 10.1109/ICASSP48485.2024.10446445

https://www.hs-coburg.de/publikation/4317-enhanced-color-palette-modeling-for-lossless-screen-content/