Results 11 to 20 of about 230,825 (293)
No-Reference Perceptual Quality Assessment Of Colour Image
Publication in the conference proceedings of EUSIPCO, Florence, Italy ...
Bringier, Benjamin +3 more
openaire +6 more sources
No-reference Image Denoising Quality Assessment [PDF]
17 pages, 41 figures, accepted by Computer Vision Conference (CVC ...
Lu, Si
openaire +4 more sources
No-Reference Blurred Image Quality Assessment by Structural Similarity Index
No-reference (NR) image quality assessment (IQA) objectively measures the image quality consistently with subjective evaluations by using only the distorted image.
Haopeng Zhang +3 more
doaj +2 more sources
Hybrid No-Reference Quality Assessment for Surveillance Images
Intelligent video surveillance (IVS) technology is widely used in various security systems. However, quality degradation in surveillance images (SIs) may affect its performance on vision-based tasks, leading to the difficulties in the IVS system ...
Zhongchang Ye, Xin Ye, Zhonghua Zhao
doaj +2 more sources
No-Reference Hyperspectral Image Quality Assessment via Ranking Feature Learning
In hyperspectral image (HSI) reconstruction tasks, due to the lack of ground truth in real imaging processes, models are usually trained and validated on simulation datasets and then tested on real measurements captured by real HSI imaging systems ...
Yuyan Li +5 more
doaj +2 more sources
Assessing image quality in photoacoustic imaging: A metric-based and deep learning-based evaluation [PDF]
Photoacoustic (PA) imaging offers high-resolution functional imaging in vivo, but image quality varies with acquisition hardware, reconstruction methods, and scanning conditions.
Melle Van Der Brugge +2 more
doaj +2 more sources
Domain Fingerprints for No-Reference Image Quality Assessment [PDF]
accepted by IEEE Transactions on Circuits and Systems for Video Technology (TCSVT)
Weihao Xia 0001 +3 more
openaire +2 more sources
No-reference image quality assessment based on automatic machine learning [PDF]
In different applications in deep learning, due to different required features, it is necessary to design specialized Neural Network structure. However, the design of the structure largely depends on the relevant subject knowledge of researchers and lots
Qian Qi, Sang Qingbing
doaj +1 more source
No-Reference Quality Assessment of Authentically Distorted Images Based on Local and Global Features
With the development of digital imaging techniques, image quality assessment methods are receiving more attention in the literature. Since distortion-free versions of camera images in many practical, everyday applications are not available, the need for ...
Domonkos Varga
doaj +1 more source
Degraded Reference Image Quality Assessment
15 pages, 11 figures, 9 ...
Shahrukh Athar, Zhou Wang 0001
openaire +3 more sources

