Results 71 to 80 of about 896 (171)

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

Long‐term predictors of seizure outcome after anterior temporal lobectomy in unilateral hippocampal sclerosis: A 281‐patient cohort with mean 10‐year follow‐up

Epileptic Disorders, Volume 28, Issue 1, Page 84-96, February 2026.
Abstract Objective To identify long‐term predictors of seizure outcome after anterior temporal lobectomy (ATL) in a large, homogeneous cohort of patients with drug‐resistant temporal lobe epilepsy (TLE) and MRI‐defined unilateral hippocampal sclerosis (HS), all operated on by a single neurosurgeon with extended follow‐up.
Thiago Pereira Rodrigues, Leonardo Favi Bocca, Elza Marcia Targas Yacubian, Mirian Salvadori Bittar Guaranha, Neide Barreira Alonso, Henrique Carrete Junior, Maria Helena Silva Noffs, Luis Otavio Caboclo, Jeana Torres Corso Duarte, Ricardo Silva Centeno   +9 more
wiley   +1 more source

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

Statistical Auroral Absorption Model Parameterized by AE Index

Journal of Geophysical Research: Space Physics, Volume 131, Issue 1, January 2026.
Abstract Energetic electron precipitation, often in association with enhanced geomagnetic activity, leads to increased D‐region ionization in the auroral region causing auroral absorption. A statistical auroral absorption model is presented for high‐latitudes (poleward of 50° magnetic latitude) based on data collected from 2010 to 2019 from 13 wide ...
R. A. D. Fiori, T. G. Cameron, J. Issa, A. Hupé, L. Huang   +4 more
wiley   +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

A Chaotic Compressive Sensing‐Based Secure Device‐to‐Device Communication

IET Communications, Volume 20, Issue 1, January/December 2026.
This research proposes the construction of a single combined measurement matrix built from two discrete chaotic sequences for enhanced randomness in the data. Additionally, a separate chaotic system is used in a novel way to construct orthogonal matrices. ABSTRACT The need for secure information exchange is increasingly felt with an exponential rise in
Muhammad Irfan, Athar Waseem, Ubaid Umar, Adil Farooq   +3 more
wiley   +1 more source

Hierarchical Perceptual Quality Assessment of HDR‐Style LDR Photographic Images: Integrating Naturalness and Aesthetics

IET Image Processing, Volume 20, Issue 1, January/December 2026.
Inspired by the hierarchical perception characteristics of HVS, we propose a set of bottom‐up quality evaluation protocols with specific test patterns, which are used for the automated qualitative analysis of naturalness and aesthetics attributes for HDR‐Style LDR photographic imaging.
Jingli Fang, Lin Li, Yang Zhao, Xiaoping Liu   +3 more
wiley   +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

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

CoRR
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. Given the difficulty in collecting large-scale training data, leveraging limited data to develop a model with strong generalization remains an open problem.
Fu, Honghao, Wang, Yufei, Yang, Wenhan, Kot, Alex C., Wen, Bihan   +4 more
openaire   +3 more sources

Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image

Journal of Physics: Conference Series, 2019
Abstract Image quality is often lost during image acquisition, transmission, and compression. Therefore, image quality assessment (IQA) is crucial in image processing. Currently, image quality can be measured from the frequency domain features, but it only applicable to blurred grayscale images.
Li Chien Tan, Haniza Yazid, Yen Fook Chong   +2 more
openaire   +1 more source