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wszystkich: 9
Katalog Publikacji
Rok 2025
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Generative Diffusion Models for Compressed Sensing of Satellite LiDAR Data: Evaluating Image Quality Metrics in Forest Landscape Reconstruction
PublikacjaSpaceborne LiDAR systems are crucial for Earth observation but face hardware constraints, thus limiting resolution and data processing. We propose integrating compressed sensing and diffusion generative models to reconstruct high-resolution satellite LiDAR data within the Hyperheight Data Cube (HHDC) framework. Using a randomized illumination pattern in the imaging model, we achieve efficient sampling and compression, reducing...
Rok 2024
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A Fast Prediction of the OCR Results Based on Binary Image Quality Assessment Methods
PublikacjaSince 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
Publikacja -
Application of Binary Image Quality Assessment Methods to Predict the Quality of Optical Character Recognition Results
PublikacjaOne 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...
Rok 2023
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A Hybrid Method for Objective Quality Assessment of Binary Images
PublikacjaIn 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
Publikacja
Rok 2022
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Application of Image Entropy Analysis for the Quality Assessment of Stitched Images
Publikacja -
Improved Combined Metric for Automatic Quality Assessment of Stitched Images
Publikacja
Rok 2021
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Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
PublikacjaQuality 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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