Results 31 to 40 of about 3,132,262 (326)
Theme-Aware Semi-Supervised Image Aesthetic Quality Assessment
Mathematics, 2022 Image aesthetic quality assessment (IAQA) has aroused considerable interest in recent years and is widely used in various applications, such as image retrieval, album management, chat robot and social media.
Xiaodan Zhang +3 more
doaj +1 more source
AIGCIQA2023: A Large-scale Image Quality Assessment Database for AI Generated Images: from the Perspectives of Quality, Authenticity and Correspondence [PDF]
CAAI International Conference on Artificial Intelligence, 2023 In this paper, in order to get a better understanding of the human visual preferences for AIGIs, a large-scale IQA database for AIGC is established, which is named as AIGCIQA2023.
Jiarui Wang +5 more
semanticscholar +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 +4 more
doaj +1 more source
Transactions 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
Quantifying image distortion based on Gabor filter bank and multiple regression analysis [PDF]
, 2012 Image quality assessment is indispensable for image-based applications. The approaches towards image quality assessment fall into two main categories: subjective and objective methods. Subjective assessment has been widely used.
Castellanos Dominguez, German +5 more
core +1 more source
Saliency-Guided Local Full-Reference Image Quality Assessment
Signals, 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
Boosting in image quality assessment [PDF]
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), 2016 In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. Existing multi-method studies focus on proposing a single quality estimator. On the contrary, we investigate the generalizability of multi-method fusion as a framework.
Temel, Dogancan, AlRegib, Ghassan
openaire +2 more sources
Konx: cross-resolution image quality assessment
Quality and User Experience, 2023 AbstractScale-invariance is an open problem in many computer vision subfields. For example, object labels should remain constant across scales, yet model predictions diverge in many cases. This problem gets harder for tasks where the ground-truth labels change with the presentation scale.
Oliver Wiedemann +3 more
openaire +3 more sources
Reduced reference image and video quality assessments: review of methods
EURASIP Journal on Image and Video Processing, 2022 With the growing demand for image and video-based applications, the requirements of consistent quality assessment metrics of image and video have increased.
Shahi Dost +5 more
doaj +1 more source
Journal of Neuroscience Methods, 2022 Background Generative Adversarial Networks (GANs) can synthesize brain images from image or noise input. So far, the gold standard for assessing the quality of the generated images has been human expert ratings.
M. Treder, Ryan Codrai, K. Tsvetanov
semanticscholar +1 more source