Results 21 to 30 of about 473,139 (306)

2D and 3D Image Quality Assessment: A Survey of Metrics and Challenges

open access: yesIEEE Access, 2019
Image quality is important not only for the viewing experience, but also for the performance of image processing algorithms. Image quality assessment (IQA) has been a topic of intense research in the fields of image processing and computer vision.
Yuzhen Niu   +4 more
doaj   +1 more source

An Ingenious Application-Specific Quality Assessment Methods for Compressed Wireless Capsule Endoscopy Images

open access: yesTransactions on Environment and Electrical Engineering, 2020
Image quality assessment methods are used in different image processing applications. Among them, image compression and image super-resolution can be mentioned in wireless capsule endoscopy (WCE) applications.
Kinde Anlay Fante   +2 more
doaj   +1 more source

Saliency-Guided Local Full-Reference Image Quality Assessment

open access: yesSignals, 2022
Research and development of image quality assessment (IQA) algorithms have been in the focus of the computer vision and image processing community for decades.
Domonkos Varga
doaj   +1 more source

Image analysis and statistical modelling for measurement and quality assessment of ornamental horticulture crops in glasshouses [PDF]

open access: yes, 2009
Image analysis for ornamental crops is discussed with examples from the bedding plant industry. Feed-forward artificial neural networks are used to segment top and side view images of three contrasting species of bedding plants.
Parsons, Nicholas R.   +2 more
core   +1 more source

Quality Assessment of Stereoscopic Images

open access: yesEURASIP Journal on Image and Video Processing, 2008
Several metrics have been proposed in literature to assess the perceptual quality of two-dimensional images. However, no similar effort has been devoted to quality assessment of stereoscopic images. Therefore, in this paper, we review the different issues related to 3D visualization, and we propose a quality metric for the assessment of stereopairs ...
Benoit, Alexandre   +3 more
openaire   +6 more sources

An Underwater Image Quality Assessment Metric

open access: yesIEEE Transactions on Multimedia, 2023
Various image enhancement algorithms are adopted to improve underwater images that often suffer from visual distortions. It is critical to assess the output quality of underwater images undergoing enhancement algorithms, and use the results to optimise underwater imaging systems.
Pengfei Guo   +5 more
openaire   +1 more source

Content-Aware Retargeted Image Quality Assessment

open access: yesInformation, 2019
In targeting the low correlation between existing image scaling quality assessment methods and subjective awareness, a content-aware retargeted image quality assessment algorithm is proposed, which is based on the structural similarity index.
Tingting Zhang   +3 more
doaj   +1 more source

Current Trends and Advances in Image Quality Assessment

open access: yesElektronika ir Elektrotechnika, 2019
Image quality assessment (IQA) is one of the constantly active areas of research in computer vision. Starting from the idea of Universal Image Quality Index (UIQI), followed by well-known Structural Similarity (SSIM) and its numerous extensions and ...
Krzysztof Okarma
doaj   +1 more source

Image quality assessment and color difference [PDF]

open access: yes2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP), 2014
An average healthy person does not perceive the world in just black and white. Moreover, the perceived world is not composed of pixels and through vision humans perceive structures. However, the acquisition and display systems discretize the world. Therefore, we need to consider pixels, structures and colors to model the quality of experience.
Dogancan Temel, Ghassan Al-Regib
openaire   +2 more sources

No-Reference Image Quality Assessment Method Based on Visual Parameters

open access: yesJournal 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

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