Blind image quality assessment via vision-language correspondence: A multitask learning perspective
We aim at advancing blind image quality assessment (BIQA), which predicts the human
perception of image quality without any reference information. We develop a general and …
perception of image quality without any reference information. We develop a general and …
Document Image Quality Assessment: A Survey
The rapid emergence of new portable capturing technologies has significantly increased the
number and diversity of document images acquired for business and personal applications …
number and diversity of document images acquired for business and personal applications …
Perceptual quality assessment of smartphone photography
As smartphones become people's primary cameras to take photos, the quality of their
cameras and the associated computational photography modules has become a de facto …
cameras and the associated computational photography modules has become a de facto …
A survey on perceptually optimized video coding
To provide users with more realistic visual experiences, videos are developing in the trends
of Ultra High Definition (UHD), High Frame Rate (HFR), High Dynamic Range (HDR), Wide …
of Ultra High Definition (UHD), High Frame Rate (HFR), High Dynamic Range (HDR), Wide …
Point cloud rendering after coding: Impacts on subjective and objective quality
Recently, point clouds have shown to be a promising way to represent 3D visual data for a
wide range of immersive applications, from augmented reality to autonomous cars …
wide range of immersive applications, from augmented reality to autonomous cars …
Threatened by AI: Analyzing Users' Responses to the Introduction of AI in a Crowd-sourcing Platform
M Lysyakov, S Viswanathan - Information Systems …, 2023 - pubsonline.informs.org
As artificial intelligence (AI) solutions are being rapidly deployed, they increasingly compete
with human labor. This study examines designers' strategies in response to the threat from …
with human labor. This study examines designers' strategies in response to the threat from …
Image quality assessment for magnetic resonance imaging
Image quality assessment (IQA) algorithms aim to reproduce the human's perception of the
image quality. The growing popularity of image enhancement, generation, and recovery …
image quality. The growing popularity of image enhancement, generation, and recovery …
Edge-aware multi-level interactive network for salient object detection of strip steel surface defects
The performance of the salient object detection of strip surface defects has been promoted
largely by deep learning based models. However, due to the complexity of strip surface …
largely by deep learning based models. However, due to the complexity of strip surface …
Pytorch image quality: Metrics for image quality assessment
S Kastryulin, J Zakirov, D Prokopenko… - arXiv preprint arXiv …, 2022 - arxiv.org
Image Quality Assessment (IQA) metrics are widely used to quantitatively estimate the extent
of image degradation following some forming, restoring, transforming, or enhancing …
of image degradation following some forming, restoring, transforming, or enhancing …
Quantifying visual image quality: A bayesian view
Image quality assessment (IQA) models aim to establish a quantitative relationship between
visual images and their quality as perceived by human observers. IQA modeling plays a …
visual images and their quality as perceived by human observers. IQA modeling plays a …