Perceptual image quality assessment: a survey
Perceptual quality assessment plays a vital role in the visual communication systems owing
to the existence of quality degradations introduced in various stages of visual signal …
to the existence of quality degradations introduced in various stages of visual signal …
State-of-the-art in 360 video/image processing: Perception, assessment and compression
Nowadays, 360° video/image has been increasingly popular and drawn great attention. The
spherical viewing range of 360° video/image accounts for huge data, which pose the …
spherical viewing range of 360° video/image accounts for huge data, which pose the …
No-reference image quality assessment via transformers, relative ranking, and self-consistency
Abstract The goal of No-Reference Image Quality Assessment (NR-IQA) is to estimate the
perceptual image quality in accordance with subjective evaluations, it is a complex and …
perceptual image quality in accordance with subjective evaluations, it is a complex and …
Blindly assess image quality in the wild guided by a self-adaptive hyper network
Blind image quality assessment (BIQA) for authentically distorted images has always been a
challenging problem, since images captured in the wild include varies contents and diverse …
challenging problem, since images captured in the wild include varies contents and diverse …
MetaIQA: Deep meta-learning for no-reference image quality assessment
Recently, increasing interest has been drawn in exploiting deep convolutional neural
networks (DCNNs) for no-reference image quality assessment (NR-IQA). Despite of the …
networks (DCNNs) for no-reference image quality assessment (NR-IQA). Despite of the …
An introduction to neural data compression
Neural compression is the application of neural networks and other machine learning
methods to data compression. Recent advances in statistical machine learning have opened …
methods to data compression. Recent advances in statistical machine learning have opened …
Fault diagnosis of hydraulic systems based on deep learning model with multirate data samples
Hydraulic systems are a class of typical complex nonlinear systems, which have been widely
used in manufacturing, metallurgy, energy, and other industries. Nowadays, the intelligent …
used in manufacturing, metallurgy, energy, and other industries. Nowadays, the intelligent …
An overview of underwater vision enhancement: From traditional methods to recent deep learning
K Hu, C Weng, Y Zhang, J **, Q **a - Journal of Marine Science and …, 2022 - mdpi.com
Underwater video images, as the primary carriers of underwater information, play a vital role
in human exploration and development of the ocean. Due to the optical characteristics of …
in human exploration and development of the ocean. Due to the optical characteristics of …
VCRNet: Visual compensation restoration network for no-reference image quality assessment
Guided by the free-energy principle, generative adversarial networks (GAN)-based no-
reference image quality assessment (NR-IQA) methods have improved the image quality …
reference image quality assessment (NR-IQA) methods have improved the image quality …
End-to-end blind image quality prediction with cascaded deep neural network
The deep convolutional neural network (CNN) has achieved great success in image
recognition. Many image quality assessment (IQA) methods directly use recognition-oriented …
recognition. Many image quality assessment (IQA) methods directly use recognition-oriented …