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The goal of no-reference image quality assessment (NR-IQA) is to estimate human perceived image quality without access to either reference image or prior knowledge about distortion type. Previous approaches for this problem are typically based on a regression framework that maps the image features directly to a quality score. In contrast, psychological evidence shows that humans prefer to evaluate...
This paper proposes a novel approach to extracting text lines from curved document images that are captured from an opened thick and bounded book or a curled document sheet. We first extract the connected components (CCs) in a binary image and then remove the non-textual CCs. Additionally, we estimate the orientation of each CC through local projections and a feature vector is accordingly defined...
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