Results 61 to 70 of about 839 (131)
RSDhazer: Residual Shallow‐Deep Network for Efficient Single‐Image Dehazing
IET Image Processing, Volume 20, Issue 1, January/December 2026.We introduce RSDhazer, a lightweight and efficient end‐to‐end dehazing network designed to handle the complexity of haze removal while maintaining a low computational cost. The proposed RSDhazer comprises three distinct feature extraction blocks that extract shallow and deep features from input images and propagate them through the network without ...
Syeda Rabail Zahra +6 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 +3 more
doaj +1 more source
Overview of High-Dynamic-Range Image Quality Assessment
Journal of ImagingIn 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 +4 more
doaj +1 more source
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
Subjective and Objective Quality Assessment of Image: A Survey
Majlesi Journal of Electrical EngineeringWith the increasing demand for image-based applications, the efficient and reliable evaluation of image quality has increased in importance. Measuring the image quality is of fundamental importance for numerous image processing applications, where the ...
Pedram Mohammadi +2 more
doaj
No-Reference Image Quality Assessment Based on Multi-Task Generative Adversarial Network
IEEE Access, 2019 Since human observers are the ultimate receivers of an image, most of the image quality assessment (IQA) methods are based on analysis of the properties and mechanism of the human visual system.
Yao Ma +3 more
doaj +1 more source
Charting the path forward: CT image quality assessment - an in-depth review
Journal of King Saud University: Computer and Information SciencesComputed Tomography (CT) is a frequently utilized imaging technology that is employed in the clinical diagnosis of many disorders. However, clinical diagnosis, data storage, and management are faced with significant challenges posed by a huge volume of ...
Siyi Xun +8 more
doaj +1 more source
IQAGPT: computed tomography image quality assessment with vision-language and ChatGPT models
Visual Computing for Industry, Biomedicine, and ArtLarge language models (LLMs), such as ChatGPT, have demonstrated impressive capabilities in various tasks and attracted increasing interest as a natural language interface across many domains. Recently, large vision-language models (VLMs) that learn rich
Zhihao Chen +6 more
doaj +1 more source
Journal of Experimental and Theoretical AnalysesThis study addresses the critical challenge of variable image quality in deep learning-based automated pest identification. We propose a holistic pipeline that integrates systematic Image Quality Assessment (IQA) with tailored preprocessing to enhance ...
Shuyi Jia +2 more
doaj +1 more source
Perceptual no-reference image quality assessment with meta-learning by graph representation learning and multi-scale feature fusion. [PDF]
PLoS OneJia Y, Wei L.
europepmc +1 more source