Results 91 to 100 of about 6,482 (156)

GPGPU based implementation of BLIINDS-II NR-IQA [PDF]

, 2016
: The technological advances in the past few decades have made possible creation and consumption of digital visual content at an explosive rate. Consequently, there is a need for efficient quality monitoring systems to ensure minimal degradation of ...

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Several IQA comparison on the LIVEMD image database.

, 2018
Several IQA comparison on the LIVEMD image database.
Yifan Li (327507), Chaofeng Li (477347), Yunhao Yuan (5460107), Xiaojun Wu (466801), Qingbing Sang (5460104)   +4 more
core   +1 more source

Several IQA comparison on the MDID2013 image database.

, 2018
Several IQA comparison on the MDID2013 image database.
Yifan Li (327507), Chaofeng Li (477347), Yunhao Yuan (5460107), Xiaojun Wu (466801), Qingbing Sang (5460104)   +4 more
core   +1 more source

DP-IQA: Utilizing Diffusion Prior for Blind Image Quality Assessment in the Wild [PDF]

Blind image quality assessment (IQA) in the wild, which assesses the quality of images with complex authentic distortions and no reference images, presents significant challenges.
Wang, Yufei, Fu, Honghao, Wen, Bihan, Yang, Wenhan   +3 more
core   +1 more source

QWT-IQA scores against DMOS on the LIVEMD image database.

, 2018
QWT-IQA scores against DMOS on the LIVEMD image database.
Yifan Li (327507), Chaofeng Li (477347), Yunhao Yuan (5460107), Xiaojun Wu (466801), Qingbing Sang (5460104)   +4 more
core   +1 more source

Consuming time for IQA schemes (in seconds per image).

, 2015
Consuming time for IQA schemes (in seconds per image).
Qingmin Liao (707784), Can Wang (157994), Shu-Tao Xia (707783), Fei Zhou (86034), Zongqing Lu (707782), Wen Sun (273647)   +5 more
core   +1 more source

Improving Adversarial Transferability in No-Reference Image Quality Assessment via Consensus-Guided Distillation and Local Perceptual Attack

Big Data and Cognitive Computing
No-reference image quality assessment (NR-IQA) metrics are widely used to evaluate and train image and video processing algorithms, but the growing reliance on deep neural networks makes these metrics vulnerable to adversarial attacks. Among such attacks,
Andrey Dolgolenko, Georgii Bychkov, Dmitriy Vatolin   +2 more
doaj   +1 more source

Effectiveness and clinical impact of using deep learning for first-trimester fetal ultrasound image quality auditing

BMC Pregnancy and Childbirth
Background Regular auditing of ultrasound images is required to maintain quality; however, manual auditing is time-consuming and can be inconsistent. We therefore aimed to develop and validate an artificial intelligence-based image quality audit (AI-IQA)
Xiaoyan Cao, Binghan Li, Yongsong Zhou, Yan Cao, Xin Yang, Xindi Hu, Chaoyu Chen, Shaokao Zhu, Hengli Lin, Tao Wang, Yuling Yan, Tao Tan, Lin Wang, Dong Ni   +13 more
doaj   +1 more source

อบรม Re-Tooling of IQA Auditors Training

, 2015
ศูนย์ส่งเสริมความเป็นเลิศ มหาวิทยาลัยอัสสัมชัญ จัดอบรม Re-Tooling of IQA Auditors Training ระหว่างวันที่ 18-20 มกราคม 2555 ณ ห้องนิทรรศการ อาคารอัสสัมชัญ ร.ศ. 200 วิทยาเขตหัวหมาก มหาวิทยาลัยอัสสัมชั

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Reduced-reference IQA in contourlet domain

, 2009
The human visual system (HVS) provides a suitable cue for image quality assessment (IQA). In this paper, we develop a novel reduced reference (RR) IQA scheme by incorporating the merits from the contourlet transform, contrast sensitivity function (CSF ...
Lu, W., Tao, D., Li, X, Li, Xuelong, Gao, X, Gao, X., Lu, W, Tao, D   +7 more
core   +1 more source