Results 31 to 40 of about 449,584 (259)
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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An Underwater Image Quality Assessment Metric
IEEE Transactions on Multimedia, 2023 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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No-Reference Image Quality Assessment and Application Based on Spatial Domain Coding
IEEE Access, 2018 Aiming at the problem that a no-reference (NR) image quality assessment algorithm is not accurate enough to predict the image quality at present, we proposed a method of NR image quality assessment based on spatial domain coding (SDC).
Chen Yong, Fang Hao, Liu Huanlin
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Image quality assessment and color difference [PDF]
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014 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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IV-PSNR: Software for immersive video objective quality evaluation
SoftwareX, 2023 In this article, we present the IV-PSNR software, which allows for objective quality assessment of immersive video. The software outputs the IV-PSNR metric calculated for a pair of raw video files.
Jakub Stankowski, Adrian Dziembowski
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Image Restoration Quality Assessment Based on Regional Differential Information Entropy
Entropy, 2023 With the development of image recovery models, especially those based on adversarial and perceptual losses, the detailed texture portions of images are being recovered more naturally. However, these restored images are similar but not identical in detail
Zhiyu Wang +5 more
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Image Quality Assessment Using Image Description in Information Theory
IEEE Access, 2018 In this paper, a novel image quality assessment (IQA) model using statistic features based on image information theory is proposed. Firstly, the image is decomposed into non-overlapped patches and transformed into the saliency information, specific ...
Huan Gao +3 more
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End-to-End Image Patch Quality Assessment for Image/Video With Compression Artifacts
IEEE Access, 2020 In this paper, we present an experimental image quality assessment (IQA) method for image/video patches with compression artifacts. Using the High Efficiency Video Coding (HEVC) standard, we create a new database of image patches with compression ...
Tung Thanh Pham +4 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Pediatric gastroenteropancreatic neuroendocrine neoplasms (GEP‐NENs) are extremely rare and clinically heterogeneous. Management has largely been extrapolated from adult practice. This European Standard Clinical Practice Guideline (ESCP), developed by the EXPeRT network in collaboration with adult NEN experts, provides (adult) evidence ...
Michaela Kuhlen +23 more
wiley +1 more source
An algorithm for image quality assessment
2004 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2004 The paper presents a novel algorithm for image quality assessment. First, a simple model of the human visual system, consisting of a nonlinear function and a 2D filter, processes the input images. This filter has one user-defined parameter, whose value depends on the reference image.
Goran Ivkovic, Ravi Sankar
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