Results 21 to 30 of about 896 (171)

An Optimization-Based Family of Predictive, Fusion-Based Models for Full-Reference Image Quality Assessment

Journal of Imaging, 2023
Given the reference (distortion-free) image, full-reference image quality assessment (FR-IQA) algorithms seek to assess the perceptual quality of the test image.
Domonkos Varga
doaj   +1 more source

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

IEEE 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, Yini Zhong, Wenzhong Guo, Yiqing Shi, Peikun Chen   +4 more
doaj   +1 more source

Adaptive No-Reference Image Quality Assessment Based on Multi-Scale Pyramid Pooling [PDF]

Jisuanji gongcheng
In the Image Quality Assessment (IQA), no-reference quality assessment methods have demonstrated significant application value and development potential for managing distorted images in real-world scenarios.
WU Xuesong, CHEN Yuanyuan, ZHOU Tao
doaj   +1 more source

Pairwise Learning to Rank for Image Quality Assessment

IEEE Access, 2020
Because the pairwise comparison is a natural and effective way to obtain subjective image quality scores, we propose an objective full-reference image quality assessment (FR-IQA) index based on pairwise learning to rank (PLR).
Yiqing Shi, Yuzhen Niu, Wenzhong Guo, Yize Huang, Jiamei Zhan   +4 more
doaj   +1 more source

No-reference quality assessment for image-based assessment of economically important tropical woods.

PLoS ONE, 2020
Image Quality Assessment (IQA) is essential for the accuracy of systems for automatic recognition of tree species for wood samples. In this study, a No-Reference IQA (NR-IQA), wood NR-IQA (WNR-IQA) metric was proposed to assess the quality of wood images.
Heshalini Rajagopal, Norrima Mokhtar, Tengku Faiz Tengku Mohmed Noor Izam, Wan Khairunizam Wan Ahmad   +3 more
doaj   +1 more source

No-Reference Image Quality Assessment with Convolutional Neural Networks and Decision Fusion

Applied Sciences, 2021
No-reference image quality assessment (NR-IQA) has always been a difficult research problem because digital images may suffer very diverse types of distortions and their contents are extremely various.
Domonkos Varga
doaj   +1 more source

Blind Quality Assessment of Images Containing Objects of Interest

Sensors, 2023
To monitor objects of interest, such as wildlife and people, image-capturing devices are used to collect a large number of images with and without objects of interest.
Wentong He, Ze Luo
doaj   +1 more source

No-Reference Blurred Image Quality Assessment by Structural Similarity Index

Applied Sciences, 2018
No-reference (NR) image quality assessment (IQA) objectively measures the image quality consistently with subjective evaluations by using only the distorted image.
Haopeng Zhang, Bo Yuan, Bo Dong, Zhiguo Jiang   +3 more
doaj   +1 more source

Siamese-Network-Based Learning to Rank for No-Reference 2D and 3D Image Quality Assessment

IEEE Access, 2019
2D image quality assessment (IQA) and stereoscopic 3D IQA are considered as two different tasks in the literature. In this paper, we present an index for both no-reference 2D and 3D IQA.
Yuzhen Niu, Dong Huang, Yiqing Shi, Xiao Ke   +3 more
doaj   +1 more source

Long-Range Dependencies and High-Order Spatial Pooling for Deep Model-Based Full-Reference Image Quality Assessment

IEEE Access, 2020
Deep Learning based image quality assessment (IQA) has been shown to greatly improve the quality score prediction accuracy of images with single distortion.
Mengyang Liu, Lai-Man Po, Xuyuan Xu, Kwok Wai Cheung, Yuzhi Zhao, Kin Wai Lau, Chang Zhou   +6 more
doaj   +1 more source