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A Hybrid Method for Objective Quality Assessment of Binary Images
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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Improved Combined Metric for Automatic Quality Assessment of Stitched Images
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Application of Image Entropy Analysis for the Quality Assessment of Stitched Images
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