Results 1 to 10 of about 4,100 (155)

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

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

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

Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation [PDF]

Photoacoustics
Photoacoustic (PA) imaging offers high-resolution functional imaging in vivo, but image quality varies with acquisition hardware, reconstruction methods, and scanning conditions.
Melle Van Der Brugge, Kalloor Joseph Francis, Navchetan Awasthi   +2 more
doaj   +2 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

Overview of High-Dynamic-Range Image Quality Assessment [PDF]

Journal of Imaging
In recent years, the High-Dynamic-Range (HDR) image has gained widespread popularity across various domains, such as the security, multimedia, and biomedical fields, owing to its ability to deliver an authentic visual experience.
Yue Liu, Yu Tian, Shiqi Wang, Xinfeng Zhang, Sam Kwong   +4 more
doaj   +2 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

IE-IQA: Intelligibility Enriched Generalizable No-Reference Image Quality Assessment [PDF]

Frontiers in Neuroscience, 2021
Image quality assessment (IQA) for authentic distortions in the wild is challenging. Though current IQA metrics have achieved decent performance for synthetic distortions, they still cannot be satisfactorily applied to realistic distortions because of the generalization problem.
Tianshu Song, Leida Li, Leida Li, Hancheng Zhu, Jiansheng Qian   +4 more
openaire   +3 more sources

TTL-IQA: Transitive Transfer Learning Based No-Reference Image Quality Assessment [PDF]

IEEE Transactions on Multimedia, 2021
Image quality assessment (IQA) based on deep learning faces the overfitting problem due to limited training samples available in existing IQA databases. Transfer learning is a plausible solution to the problem, in which the shared features derived from the large-scale Imagenet source domain could be transferred from the original recognition task to the
Xiaohan Yang, Fan Li, Hantao Liu
openaire   +2 more sources

NITS-IQA Database: A New Image Quality Assessment Database

Sensors, 2023
This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is still a lack of new distortion and use of real natural images taken by the camera.
Jayesh Ruikar, Saurabh Chaudhury
openaire   +3 more sources