From QoS to QoE: A tutorial on video quality assessment
Quality of experience (QoE) is the perceptual quality of service (QoS) from the users'
perspective. For video service, the relationship between QoE and QoS (such as coding …
perspective. For video service, the relationship between QoE and QoS (such as coding …
Predicting the perceptual quality of point cloud: A 3d-to-2d projection-based exploration
Point cloud is emerged as a promising media format to represent realistic 3D objects or
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …
scenes in applications, such as virtual reality, teleportation, etc. How to accurately quantify …
Deep CNN-based blind image quality predictor
Image recognition based on convolutional neural networks (CNNs) has recently been
shown to deliver the state-of-the-art performance in various areas of computer vision and …
shown to deliver the state-of-the-art performance in various areas of computer vision and …
Image quality assessment based on gradient similarity
A Liu, W Lin, M Narwaria - IEEE Transactions on Image …, 2011 - ieeexplore.ieee.org
In this paper, we propose a new image quality assessment (IQA) scheme, with emphasis on
gradient similarity. Gradients convey important visual information and are crucial to scene …
gradient similarity. Gradients convey important visual information and are crucial to scene …
Perceptual visual quality metrics: A survey
Visual quality evaluation has numerous uses in practice, and also plays a central role in
shaping many visual processing algorithms and systems, as well as their implementation …
shaping many visual processing algorithms and systems, as well as their implementation …
Solar cell surface defect inspection based on multispectral convolutional neural network
H Chen, Y Pang, Q Hu, K Liu - Journal of Intelligent Manufacturing, 2020 - Springer
Similar and indeterminate defect detection of solar cell surface with heterogeneous texture
and complex background is a challenge of solar cell manufacturing. The traditional …
and complex background is a challenge of solar cell manufacturing. The traditional …
Perceptual attacks of no-reference image quality models with human-in-the-loop
No-reference image quality assessment (NR-IQA) aims to quantify how humans perceive
visual distortions of digital images without access to their undistorted references. NR-IQA …
visual distortions of digital images without access to their undistorted references. NR-IQA …
Towards imperceptible and robust adversarial example attacks against neural networks
Abstract Machine learning systems based on deep neural networks, being able to produce
state-of-the-art results on various perception tasks, have gained mainstream adoption in …
state-of-the-art results on various perception tasks, have gained mainstream adoption in …
Enhanced just noticeable difference model for images with pattern complexity
The just noticeable difference (JND) in an image, which reveals the visibility limitation of the
human visual system (HVS), is widely used for visual redundancy estimation in signal …
human visual system (HVS), is widely used for visual redundancy estimation in signal …
Perceptual quality metric with internal generative mechanism
Objective image quality assessment (IQA) aims to evaluate image quality consistently with
human perception. Most of the existing perceptual IQA metrics cannot accurately represent …
human perception. Most of the existing perceptual IQA metrics cannot accurately represent …