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Abstract: Since the human visual system (HVS) is highly sensitive to edges, a novel image quality assessment (IQA) metric for assessing screen content ...
Since the human visual system (HVS) is highly sensitive to edges, a novel image quality assessment (IQA) metric for as- sessing screen content images (SCIs) is ...
PDF | Since the human visual system (HVS) is highly sensitive to edges, a novel image quality assessment (IQA) metric for assessing screen content.
Jan 1, 2019 · In this paper, an effective full-reference quality evaluation model for SCIs is proposed, in which edge features in gradient domain (EFGD) ...
Dec 9, 2024 · In this manuscript, an effective full-reference quality evaluation model for screen content images is proposed, in which edge features in ...
In this paper, a competitive no-reference metric is proposed to assess the perceptive quality of screen content images (SCIs), which uses the human visual edge ...
In this paper, we develop a novel full-reference image quality assessment (IQA) method, called distortion-based directional edge and gradient similarity maps ( ...
In this paper, an accurate full-reference image quality assessment (IQA) model developed for assessing screen content images (SCIs), called the edge ...
An effective full-reference quality evaluation model for SCIs is proposed, in which edge features in gradient domain (EFGD) are extracted for better visual ...
In this paper, we develop a novel full-reference image quality assessment (IQA) method, called distortion-based directional edge and gradient similarity maps ( ...
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