Results 1 to 10 of about 21,548,252 (255)
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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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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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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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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REMOTE SENSING IMAGE QUALITY ASSESSMENT EXPERIMENT WITH POST-PROCESSING [PDF]
This paper briefly describes the post-processing influence assessment experiment, the experiment includes three steps: the physical simulation, image processing, and image quality assessment.
W. Jiang +5 more
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The main purpose of this paper is the study of the correlations between Image Aesthetic (IA) and Image Naturalness (IN) and the analysis of the influence of IA and IN on Image Quality (IQ) in different contexts.
Quyet-Tien Le +3 more
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CRITICAL REFLECTION ON QUANTITATIVE ASSESSMENT OF IMAGE FUSION QUALITY [PDF]
Image fusion technique has been extended its development from multi-sensor fusion, multi-model fusion to multi-focus fusion. More and more advanced techniques such as deep learning have been integrated into the development of image fusion algorithms ...
S. Xu, M. Ehlers
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