Results 1 to 10 of about 1,058,511 (183)
SEM Image Quality Assessment Based on Intuitive Morphology and Deep Semantic Features
IEEE Access, 2022 The widespread use of scanning electron microscopy (SEM) has increased the requirements for SEM image quality. SEM images obtained by electron beam feedback have more complex texture features than natural images obtained by optical imaging, and this ...
Haoran Wang +5 more
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No-reference digital image quality assessment of offline signature
Системный анализ и прикладная информатикаThe purpose of this paper is to develop a simple criterion for image quality assessment of a signature scanned from a paper (i. e., a static or offline signature).
Y. I. Golub
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No-reference image quality assessment based on quality patches in real time
EURASIP Journal on Image and Video Processing, 2018 Image quality assessment methods quantify the quality of an image that is highly correlated with human-perceived image quality. In this paper, the image quality is represented by the image patches that are selected by applying the spatial correlation of ...
Chuang Zhang +4 more
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A ParaBoost Stereoscopic Image Quality Assessment (PBSIQA) System [PDF]
, 2016 The problem of stereoscopic image quality assessment, which finds applications in 3D visual content delivery such as 3DTV, is investigated in this work.
Ko, Hyunsuk, Kuo, C. -C. Jay, Song, Rui
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Objective assessment of region of interest-aware adaptive multimedia streaming quality [PDF]
, 1982 Adaptive multimedia streaming relies on controlled adjustment of content bitrate and consequent video quality variation in order to meet the bandwidth constraints of the communication link used for content delivery to the end-user.
Bogdan Ciubotaru +5 more
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SUR-Net: Predicting the Satisfied User Ratio Curve for Image Compression with Deep Learning [PDF]
, 2019 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.The Satisfied User Ratio (SUR) curve for a lossy image compression scheme, e.g., JPEG, characterizes the ...
Fan, Chunling +6 more
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Pseudo No Reference image quality metric using perceptual data hiding [PDF]
, 2006 International audienceImage quality assessment have been extensively studied during this past few decades. It is obviously very important to provide a mean to judge an image's quality without having to ask to human observers for a sub jective image ...
Autrusseau, Florent +2 more
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CNN-Based Cross-Dataset No-Reference Image Quality Assessment
2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW), 2019 Recent works on no-reference image quality assessment (NR-IQA) have reported good performance for various datasets. However, they suffer from significant performance drops in cross-dataset evaluations which indicates poor generalization power. We propose a Siamese architecture and training procedures for cross-dataset deep NR-IQA that achieves clearly ...
Yang, Dan +2 more
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No Reference Image Quality Assessment based on Multi-Expert Convolutional Neural Networks
IEEE Access, 2018 No Reference (NR) Image Quality Assessment (IQA) algorithm is capable of measuring the quality of distorted images without referencing the original images. This property is of great importance in image processing, compression, and transmission.
Chunling Fan +3 more
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Hybrid No-Reference Quality Assessment for Surveillance Images
Information, 2022 Intelligent video surveillance (IVS) technology is widely used in various security systems. However, quality degradation in surveillance images (SIs) may affect its performance on vision-based tasks, leading to the difficulties in the IVS system ...
Zhongchang Ye, Xin Ye, Zhonghua Zhao
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