Results 41 to 50 of about 3,132,262 (326)
Content-Aware Retargeted Image Quality Assessment
Information, 2019 In targeting the low correlation between existing image scaling quality assessment methods and subjective awareness, a content-aware retargeted image quality assessment algorithm is proposed, which is based on the structural similarity index.
Tingting Zhang +3 more
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Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment [PDF]
IEEE Transactions on Image Processing, 2016 We present a deep neural network-based approach to image quality assessment (IQA). The network is trained end-to-end and comprises ten convolutional layers and five pooling layers for feature extraction, and two fully connected layers for regression ...
S. Bosse +4 more
semanticscholar +1 more source
CNN-Based Medical Ultrasound Image Quality Assessment
Complexity, 2021 The quality of ultrasound image is a key information in medical related application. It is also an important index in evaluating the performance of ultrasonic imaging equipment and image processing algorithms.
Siyuan Zhang +5 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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Attentions Help CNNs See Better: Attention-based Hybrid Image Quality Assessment Network [PDF]
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2022 Image quality assessment (IQA) algorithm aims to quantify the human perception of image quality. Unfortunately, there is a performance drop when assessing the distortion images generated by generative adversarial network (GAN) with seemingly realistic ...
Shan Lao +7 more
semanticscholar +1 more source
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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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
openaire +4 more sources
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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