Results 71 to 80 of about 4,120 (175)

Rectangular-Normalized Superpixel Entropy Index for Image Quality Assessment

Entropy, 2018
Image quality assessment (IQA) is a fundamental problem in image processing that aims to measure the objective quality of a distorted image. Traditional full-reference (FR) IQA methods use fixed-size sliding windows to obtain structure information but ...
Tao Lu, Jiaming Wang, Huabing Zhou, Junjun Jiang, Jiayi Ma, Zhongyuan Wang   +5 more
doaj   +1 more source

Predicting Face Recognition Performance Using Image Quality [PDF]

, 2015
This paper proposes a data driven model to predict the performance of a face recognition system based on image quality features. We model the relationship between image quality features (e.g. pose, illumination, etc.) and recognition performance measures
Dutta, Abhishek, Spreeuwers, Luuk, Veldhuis, Raymond   +2 more
core   +1 more source

Image Quality Assessments by Leveraging Diverse Visual Tasks

IEEE Access
Image quality assessment (IQA) is a fundamental task in computer vision with the goal of accurately predicting the mean opinion score of humans for assessing the quality of images.
Joonhee Lee, Dongwon Park, Se Young Chun
doaj   +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
doaj   +1 more source

Entropy Based Data Expansion Method for Blind Image Quality Assessment

Entropy, 2019
Image quality assessment (IQA) is a fundamental technology for image applications that can help correct low-quality images during the capture process. The ability to expand distorted images and create human visual system (HVS)-aware labels for training ...
Xiaodi Guan, Lijun He, Mengyue Li, Fan Li   +3 more
doaj   +1 more source

Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment

Code is available at: https://github.com/zhengchen1999/Grounding ...
Chen, Zheng, Zhang, Xun, Li, Wenbo, Pei, Renjing, Song, Fenglong, Min, Xiongkuo, Liu, Xiaohong, Yuan, Xin, Guo, Yong, Zhang, Yulun   +9 more
openaire   +2 more sources

FS-IQA: Certified Feature Smoothing for Robust Image Quality Assessment

We propose a novel certified defense method for Image Quality Assessment (IQA) models based on randomized smoothing with noise applied in the feature space rather than the input space. Unlike prior approaches that inject Gaussian noise directly into input images, often degrading visual quality, our method preserves image fidelity while providing ...
Shumitskaya, Ekaterina, Vatolin, Dmitriy, Antsiferova, Anastasia   +2 more
openaire   +2 more sources

Cross-IQA: Unsupervised Learning for Image Quality Assessment

Automatic perception of image quality is a challenging problem that impacts billions of Internet and social media users daily. To advance research in this field, we propose a no-reference image quality assessment (NR-IQA) method termed Cross-IQA based on vision transformer(ViT) model.
openaire   +2 more sources

Contrast and Visual Saliency Similarity-Induced Index for Assessing Image Quality

IEEE Access, 2018
Image quality that is consistent with human opinion is assessed by a perceptual image quality assessment (IQA) that defines/utilizes a computational model.
Huizhen Jia, Lu Zhang, Tonghan Wang
doaj   +1 more source

RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment

, 2017
Inspired by the free-energy brain theory, which implies that human visual system (HVS) tends to reduce uncertainty and restore perceptual details upon seeing a distorted image, we propose restorative adversarial net (RAN), a GAN-based model for no ...
Chen, Diqi, Ren, Hongyu, Wang, Yizhou
core   +1 more source