Results 51 to 60 of about 4,120 (175)

VRL-IQA: Visual Representation Learning for Image Quality Assessment

IEEE Access
With the increasing prevalence of digital multimedia devices and the growing reliance on compression and wireless data transmission, evaluating image quality remains a persistent challenge. This study addresses the limitations of image quality assessment stemming from the expense of data annotation and the scarcity of labeled training datasets ...
Muhammad Azeem Aslam, Xu Wei, Nisar Ahmed, Gulshan Saleem, Tuba Amin, Hui Caixue   +5 more
openaire   +2 more sources

A No-Reference Image Quality Assessment Metric by Multiple Characteristics of Light Field Images

IEEE Access, 2019
Evaluation of light field image (LFI), especially micro-lens camera light field (LF), is a new and challenging work. The development of image quality assessment (IQA) metric of LFIs relies on the subjective quality assessment database.
Liang Shan, Ping An, Chunli Meng, Xinpeng Huang, Chao Yang, Liquan Shen   +5 more
doaj   +1 more source

Towards a Semantic Perceptual Image Metric

, 2018
We present a full reference, perceptual image metric based on VGG-16, an artificial neural network trained on object classification. We fit the metric to a new database based on 140k unique images annotated with ground truth by human raters who received ...
Ballé, Johannes, Chinen, Troy, Gu, Chunhui, Hwang, Sung Jin, Ioffe, Sergey, Johnston, Nick, Leung, Thomas, Minnen, David, O'Malley, Sean, Rosenberg, Charles, Toderici, George   +10 more
core   +1 more source

SC-IQA: Shift compensation based image quality assessment for DIBR-synthesized views [PDF]

2018 IEEE Visual Communications and Image Processing (VCIP), 2018
Depth-image-based-rendering (DIBR) has been used to generate the virtual views for Multi-view videos and Free-viewpoint videos. However, the quality assessment of DIBR-synthesized views is very challenging owing to the new types of distortions induced by inaccurate depth maps, dis-occlusions and image inpainting methods.
Tian, Shishun, Zhang, Lu, Morin, Luce, Déforges, Olivier   +3 more
openaire   +1 more source

Image quality assessment (IQA) using high-frequency and image variance (HFIV) for colour image

Journal of Physics: Conference Series, 2019
Abstract Image quality is often lost during image acquisition, transmission, and compression. Therefore, image quality assessment (IQA) is crucial in image processing. Currently, image quality can be measured from the frequency domain features, but it only applicable to blurred grayscale images.
Li Chien Tan, Haniza Yazid, Yen Fook Chong   +2 more
openaire   +1 more source

A narrative move towards the exploration of gauging of image quality

JOIV: International Journal on Informatics Visualization, 2019
Image quality assessment (IQA) acting as a noteworthy part in a variety of image processing applications. Manipulative eminence of an image is essential predicament in image and record handling and a range of procedure have been anticipated for IQA ...
Tamil Kodi, Siva prasad, Venkateswara Kiran, Praveen kumar   +3 more
doaj   +1 more source

SEM Image Quality Assessment Based on Intuitive Morphology and Deep Semantic Features

IEEE Access, 2022
The widespread use of scanning electron microscopy (SEM) has increased the requirements for SEM image quality. SEM images obtained by electron beam feedback have more complex texture features than natural images obtained by optical imaging, and this ...
Haoran Wang, Shiyin Li, Jicun Ding, Suyan Li, Liang Dong, Zhaolin Lu   +5 more
doaj   +1 more source

An analysis of image quality assessment algorithm to detect the presence of unnatural contrast enhancement [PDF]

, 2016
Image contrast enhancement purposely aim the visibility of image to be increased. Most of these problems may happen after contrast enhancement: amplification of noise artifacts, saturation-loss of details, excessive brightness change and unnatural ...
Chen, Soong Der, Ismail, Nur Halilah, Ng, Liang Shing, Ramli, Abd Rahman   +3 more
core  

Full Reference Objective Quality Assessment for Reconstructed Background Images

, 2018
With an increased interest in applications that require a clean background image, such as video surveillance, object tracking, street view imaging and location-based services on web-based maps, multiple algorithms have been developed to reconstruct a ...
Karam, Lina, Shrotre, Aditee
core   +1 more source

NNCD-IQA: A new neural networks based compressed database for image quality assessment

Multimedia Tools and Applications, 2022
Objective and subjective quality assessment is still a challenging problem in various image processing tasks. For instance, in the context of image compression, most of the conducted studies have focused on image datasets encoded using standard algorithms such as JPEG and JPEG2000. In this paper, we propose to further investigate the quality assessment
Quan, Daying, Feng, Wei, Dauphin, Gabriel, Wang, Xiaofeng, Huang, Wenjiang, Xing, Mengdao   +5 more
openaire   +3 more sources