Results 31 to 40 of about 1,683,057 (326)
No-Reference Image Quality Assessment Method Based on Visual Parameters
Journal of Electronic Science and Technology, 2019 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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Subjective Annotation for a Frame Interpolation Benchmark using Artefact Amplification [PDF]
, 2020 Current benchmarks for optical flow algorithms evaluate the estimation either directly by comparing the predicted flow fields with the ground truth or indirectly by using the predicted flow fields for frame interpolation and then comparing the ...
Bruhn, Andrés +4 more
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Synchrotron Imaging Assessment of Bone Quality [PDF]
Clinical Reviews in Bone and Mineral Metabolism, 2016 Bone is a complex hierarchical structure, and its principal function is to resist mechanical forces and fracture. Bone strength depends not only on the quantity of bone tissue but also on the shape and hierarchical structure. The hierarchical levels are interrelated, especially the micro-architecture, collagen and mineral components; hence, analysis of
Ma, S +6 more
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No-reference image quality assessment through the von Mises distribution [PDF]
, 2012 An innovative way of calculating the von Mises distribution (VMD) of image entropy is introduced in this paper. The VMD's concentration parameter and some fitness parameter that will be later defined, have been analyzed in the experimental part for ...
Ciocca +19 more
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Current Trends and Advances in Image Quality Assessment
Elektronika ir Elektrotechnika, 2019 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 Analysis and Stereology, 2018 Over the years image quality assessment is one of the active area of research in image processing. Distortion in images can be caused by various sources like noise, blur, transmission channel errors, compression artifacts etc. Image distortions can occur
Kanjar De, Masilamani V
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International Journal of Interactive Multimedia and Artificial Intelligence, 2021 Our study aims to review and analyze the most relevant studies in the image dehazing field. Many aspects have been deemed necessary to provide a broad understanding of various studies that have been examined through surveying the existing literature ...
Karrar Hameed Abdulkareem +6 more
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Objective Evaluation Criteria for Shooting Quality of Stereo Cameras over Short Distance [PDF]
, 2015 Stereo cameras are the basic tools used to obtain stereoscopic image pairs, which can lead to truly great image quality. However, some inappropriate shooting conditions may cause discomfort while viewing stereo images.
Jiachen Yang, Rongrong Chu, Yun Liu
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Image utility assessment and a relationship with image quality assessment [PDF]
SPIE Proceedings, 2009 Present quality assessment (QA) algorithms aim to generate scores for natural images consistent with subjective scores for the quality assessment task. For the quality assessment task, human observers evaluate a natural image based on its perceptual resemblance to a reference.
Rouse, David +3 more
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CT Lilun yu yingyong yanjiu, 2022 Purpose: To compare the effect of radiation dose and tube potential on image quality of CT through the task-based image quality assessment parameters. Methods: We scanned Gammex 464 (the ACR quality assurance phantom) with GE Revolution Apex CT.
Zhengjun YANG +7 more
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