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Quality assessment is an integral stage in the processing and analysis of digital images in various automated systems. With the increase in the number and variety of devices that allow receiving data in various digital formats, as well as the expansion ...
Y. I. Golub
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An image quality assessment algorithm based on ‘global + local’ feature fusion [PDF]
Recently, there has been increasing research on image quality assessment. Among the existing mainstream approaches, image feature extraction tends to be simplistic, leading to insufficient quality information extraction and underutilization of the ...
Yang Yang +4 more
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Automated endoscopic image quality assessment for robust colorectal lesion detection [PDF]
Background Accurate detection of lesions in endoscopic videos is critical for the diagnosis and treatment of gastrointestinal diseases; however, poor image quality often affects accurate detection.
Byeong Soo Kim +7 more
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Overview of High-Dynamic-Range Image Quality Assessment [PDF]
In recent years, the High-Dynamic-Range (HDR) image has gained widespread popularity across various domains, such as the security, multimedia, and biomedical fields, owing to its ability to deliver an authentic visual experience.
Yue Liu +4 more
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Transformer For Image Quality Assessment [PDF]
Transformer has become the new standard method in natural language processing (NLP), and it also attracts research interests in computer vision area. In this paper we investigate the application of Transformer in Image Quality (TRIQ) assessment. Following the original Transformer encoder employed in Vision Transformer (ViT), we propose an architecture ...
Junyong You, Jari Korhonen
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NITS-IQA Database: A New Image Quality Assessment Database
This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is ...
Jayesh Ruikar, Saurabh Chaudhury
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Digital fundus image quality assessment
Diabetic retinopathy (DR) is a disease caused by complications of diabetes. It starts asymptomatically and can end in blindness. To detect it, doctors use special fundus cameras that allow them to register images of the retina in the visible range of the
V. V. Starovoitov +2 more
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Pytorch Image Quality: Metrics for Image Quality Assessment
20 pages with appendix; 4 ...
Sergey Kastryulin +3 more
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Boosting in image quality assessment [PDF]
In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. Existing multi-method studies focus on proposing a single quality estimator. On the contrary, we investigate the generalizability of multi-method fusion as a framework.
Dogancan Temel, Ghassan AlRegib
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Goal oriented image quality assessment
The area of image quality assessment(IQA) is an active research area in image processing and computer vision. All IQA algorithms reported in literature are attempting to quantify only the visual quality of the images/videos. An interesting question to be
Kiruthika S., Dr. Masilamani V.
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