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2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges
Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision.
Yuzhen Niu +4 more
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Image quality assessment methods are used in different image processing applications. Among them, image compression and image super-resolution can be mentioned in wireless capsule endoscopy (WCE) applications.
Kinde Anlay Fante +2 more
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Saliency-Guided Local Full-Reference Image Quality Assessment
Research and development of image quality assessment (IQA) algorithms have been in the focus of the computer vision and image processing community for decades.
Domonkos Varga
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Image analysis and statistical modelling for measurement and quality assessment of ornamental horticulture crops in glasshouses [PDF]
Image analysis for ornamental crops is discussed with examples from the bedding plant industry. Feed-forward artificial neural networks are used to segment top and side view images of three contrasting species of bedding plants.
Parsons, Nicholas R. +2 more
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Quality Assessment of Stereoscopic Images
Several metrics have been proposed in literature to assess the perceptual quality of two-dimensional images. However, no similar effort has been devoted to quality assessment of stereoscopic images. Therefore, in this paper, we review the different issues related to 3D visualization, and we propose a quality metric for the assessment of stereopairs ...
Benoit, Alexandre +3 more
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An Underwater Image Quality Assessment Metric
Various image enhancement algorithms are adopted to improve underwater images that often suffer from visual distortions. It is critical to assess the output quality of underwater images undergoing enhancement algorithms, and use the results to optimise underwater imaging systems.
Pengfei Guo +5 more
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Content-Aware Retargeted Image Quality Assessment
In targeting the low correlation between existing image scaling quality assessment methods and subjective awareness, a content-aware retargeted image quality assessment algorithm is proposed, which is based on the structural similarity index.
Tingting Zhang +3 more
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Current Trends and Advances in Image Quality Assessment
Image quality assessment (IQA) is one of the constantly active areas of research in computer vision. Starting from the idea of Universal Image Quality Index (UIQI), followed by well-known Structural Similarity (SSIM) and its numerous extensions and ...
Krzysztof Okarma
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Image quality assessment and color difference [PDF]
An average healthy person does not perceive the world in just black and white. Moreover, the perceived world is not composed of pixels and through vision humans perceive structures. However, the acquisition and display systems discretize the world. Therefore, we need to consider pixels, structures and colors to model the quality of experience.
Dogancan Temel, Ghassan Al-Regib
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No-Reference Image Quality Assessment Method Based on Visual Parameters
Recent studies on no-reference image quality assessment (NR-IQA) methods usually learn to evaluate the image quality by regressing from human subjective scores of the training samples. This study presented an NR-IQA method based on the basic image visual
Yu-Hong Liu, Kai-Fu Yang, Hong-Mei Yan
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