Results 1 to 10 of about 839 (131)

On optimisation of Paganin's method for propagation-based X-ray phase-contrast imaging and tomography. [PDF]

J Microsc
Abstract Paganin's method for image reconstruction in propagation‐based phase‐contrast X‐ray imaging and tomography has enjoyed broad acceptance in recent years, with over one thousand publications citing its use. The present paper discusses approaches to optimisation of the method with respect to simple image quality metrics, such as signal‐to‐noise ...
Gureyev TE, Paganin DM, Pakzad A, Quiney HM.   +3 more
europepmc   +2 more sources

Diagnosis based image quality assessment and enhancement for low dose CT image [PDF]

Frontiers in Radiology
Low-dose Computed Tomography (CT) imaging minimizes radiation exposure but often results in degraded image quality, making diagnosis challenging. Image Quality Assessment (IQA) is a process of quantitatively evaluating the visual quality of images and ...
B. Nirupama, B.S. Dhevdharsan, U. Shreya Reddy, J. Joshan Athanesious, S. Kiruthika   +4 more
doaj   +2 more sources

Deep learning-based no-reference image quality assessment framework for Cryptosporidium spp. and Giardia spp. [PDF]

PLoS ONE
Image Quality Assessment (IQA) plays a critical role in image-based decision-making systems, especially in domains requiring high diagnostic precision. Effective feature information is a prerequisite for the high performance of machine learning methods ...
Muhammad Amirul Aiman Asri, Heshalini Rajagopal, Norrima Mokhtar, Wan Amirul Wan Mohd Mahiyiddin, Yvonne Ai Lian Lim, Masahiro Iwahashi, Ryosuke Harakawa, Fatimah Ibrahim, Takao Ito   +8 more
doaj   +2 more sources

A quality assessment algorithm for no-reference images based on transfer learning [PDF]

PeerJ Computer Science
Image quality assessment (IQA) plays a critical role in automatically detecting and correcting defects in images, thereby enhancing the overall performance of image processing and transmission systems.
Yang Yang, Chang Liu, Hui Wu, Dingguo Yu
doaj   +3 more sources

ZEN-IQA: Zero-Shot Explainable and No-Reference Image Quality Assessment With Vision Language Model

IEEE Access
No-reference image quality assessment (NR-IQA), which aims to estimate the perceptual quality of a degraded image without accessing the corresponding original image, is a key challenge in low-level computer vision.
Takamichi Miyata
doaj   +3 more sources

An image quality assessment algorithm based on ‘global + local’ feature fusion [PDF]

PeerJ Computer Science
Recently, there has been increasing research on image quality assessment. Among the existing mainstream approaches, image feature extraction tends to be simplistic, leading to insufficient quality information extraction and underutilization of the ...
Yang Yang, Norisma Binti Idris, Ainuddin Wahid Abdul Wahab, Dingguo Yu, Chang Liu   +4 more
doaj   +3 more sources

IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment

IEEE Access
In an era dominated by visual content, perceptual image quality assessment (IQA) is crucial for enhancing user experiences and driving technological advancements across various domains.
Mobeen Ur Rehman, Imran Fareed Nizami, Farman Ullah, Irfan Hussain   +3 more
doaj   +3 more sources

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

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   +2 more sources

No-Reference Image Quality Assessment Model Based on Generated Perceptual Difference [PDF]

Jisuanji gongcheng, 2021
The visual perception difference in the Human Visual System(HVS) is key to image quality evaluation.By sensing the visual difference between the distorted image and the reference image,the distortion degree of the image can be judged.However,this method ...
LIU Hai, YANG Huan, PAN Zhenkuan, HUANG Baoxiang, HOU Guojia
doaj   +1 more source

TIQA-PSI: Toolbox for perceptual Image Quality Assessment of Pan-Sharpened Images

SoftwareX, 2023
A Pan-Sharpening (PS) technique integrates spatial details of a high-resolution panchromatic (PAN) image with spectral information of a low-resolution multi-spectral (MS) image, creating a single high-resolution color image.
Igor Stępień, Mariusz Oszust
doaj   +1 more source