Zobrazeno 1 - 10
of 606
pro vyhledávání: '"Image Quality Assessment (IQA)"'
IQA Vision Transformed: A Survey of Transformer Architectures in Perceptual Image Quality Assessment
Publikováno v:
IEEE Access, Vol 12, Pp 183369-183393 (2024)
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. This survey paper reviews the integration of Vision Transformers
Externí odkaz:
https://doaj.org/article/3dfa2eba4f394756b23e9706a00e1e20
Publikováno v:
IEEE Access, Vol 12, Pp 47258-47270 (2024)
The quality of images and videos is an important research topic due to their wide applications. The research should match the human subjective evaluation of quality. There are three types of objective image quality assessment: full-reference, reduced
Externí odkaz:
https://doaj.org/article/85b7d7a668124a41a945fe2d5f7b3da8
A Distorted-Image Quality Assessment Algorithm Based on a Sparse Structure and Subjective Perception
Publikováno v:
Mathematics, Vol 12, Iss 16, p 2531 (2024)
Most image quality assessment (IQA) algorithms based on sparse representation primarily focus on amplitude information, often overlooking the structural composition of images. However, structural composition is closely linked to perceived image quali
Externí odkaz:
https://doaj.org/article/dfd03dcbe9c44b03aa9a3e174c2b3a07
Publikováno v:
Applied Sciences, Vol 14, Iss 14, p 5986 (2024)
High-quality printing is a longstanding objective in the printing and replication industry. However, the methods used to evaluate print quality suffer from subjectivity and multidimensionality, relying on personal preferences and subjective perceptio
Externí odkaz:
https://doaj.org/article/c8e416d27b734ae8aa58645d56912b21
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 6860-6875 (2023)
Since the introduction of pansharpening, quality assessment has played a pivotal role in related remote sensing research to ensure the overall system's reliability. Full-resolution (FR) quality assessment is a debated research topic for applications.
Externí odkaz:
https://doaj.org/article/db190a091c82444aaa7934f8eaf23e40
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 16, Pp 399-408 (2023)
Signal-to-noise ratio (SNR) is an important radiation characteristic parameter for remote sensing image quality assessment as well as a key performance indicator for remote sensing sensors. At present, the SNR estimation methods based on regular segm
Externí odkaz:
https://doaj.org/article/a0768e7dbed348249a5200ae0f9026a0
Publikováno v:
Bioengineering, Vol 11, Iss 4, p 330 (2024)
In recent years, indirect digital radiography detectors have been actively studied to improve radiographic image performance with low radiation exposure. This study aimed to achieve low-dose radiation imaging with a thick scintillation detector while
Externí odkaz:
https://doaj.org/article/08ee87326d03470193f75a8d16be26c3
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