Year 2024

• A Fast Prediction of the OCR Results Based on Binary Image Quality Assessment Methods

  Publication

  • M. Kopytek
  • K. P. Okarma

  - Year 2024

  Since the first step of the Optical Character Recognition (OCR) procedure is usually image binarization and the execution of the OCR process takes longer time than image quality assessment (IQA) of binary images, a fast prediction of the OCR results before text recognition would be interesting for non-uniformly illuminated document images, also for applications in mobile devices. Since IQA methods for binary images usually require...

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• Application of Binary Image Quality Assessment Methods to Predict the Quality of Optical Character Recognition Results

  Publication

  • M. Kopytek
  • P. Lech
  • K. P. Okarma

  - Applied Sciences-Basel - Year 2024

  One of the continuous challenges related to the growing popularity of mobile devices and embedded systems with limited memory and computational power is the development of relatively fast methods for real-time image and video analysis. One such example is Optical Character Recognition (OCR), which is usually too complex for such devices. Considering that images captured by cameras integrated into mobile devices may be acquired...

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• Application of Binary Image Quality Assessment Methods to Predict the Quality of Optical Character Recognition Results

  Publication

  • M. Kopytek
  • P. Lech
  • K. Okarma

  - Applied Sciences-Basel - Year 2024

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Year 2023

• A Hybrid Method for Objective Quality Assessment of Binary Images

  Publication

  • K. P. Okarma
  • M. Kopytek

  - IEEE Access - Year 2023

  In the paper, a novel hybrid method for an automatic quality assessment of binary images is proposed that may be useful, e.g., for computationally limited embedded systems or Optical Character Recognition applications. Since the quality of binary images used as the input for further image analysis strongly influences the obtained results, a reliable evaluation of their quality is a crucial element for the validation of such...

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• ЕФЕКТИВНІ МЕТОДИ ІНТЕЛЕКТУАЛЬНОЇ ОБРОБКИ ЗОБРАЖЕНЬ ТА ВІДЕО НА ОСНОВІ МЕТРИК ВІЗУАЛЬНОЇ ЯКОСТІ ДЛЯ ПЕРСПЕКТИВНИХ ЗАСТОСУВАНЬ

  Publication

  • F. Li
  • V. Lukin
  • S. Abramov
  • A. Rubel
  • K. P. Okarma
  • P. Lech
  • W. Chlewicki
  • M. Kopytek

  - European Science - Year 2023

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Year 2022

• Application of Image Entropy Analysis for the Quality Assessment of Stitched Images

  Publication

  • K. Okarma
  • M. Kopytek

  - Year 2022

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• Improved Combined Metric for Automatic Quality Assessment of Stitched Images

  Publication

  • K. Okarma
  • M. Kopytek

  - Applied Sciences-Basel - Year 2022

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Year 2021

• Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images

  Publication

  • K. P. Okarma
  • W. Chlewicki
  • M. Kopytek
  • B. Marciniak
  • V. Lukin

  - ENTROPY - Year 2021

  Quality assessment of stitched images is an important element of many virtual reality and remote sensing applications where the panoramic images may be used as a background as well as for navigation purposes. The quality of stitched images may be decreased by several factors, including geometric distortions, ghosting, blurring, and color distortions. Nevertheless, the specificity of such distortions is different than those typical...

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