Results 1 to 10 of about 474,030 (289)

Subjective Image Quality Assessment With Boosted Triplet Comparisons [PDF]

IEEE Access, 2021
In subjective full-reference image quality assessment, differences between perceptual image qualities of the reference image and its distorted versions are evaluated, often using degradation category ratings (DCR). However, the DCR has been criticized since differences between rating categories on this ordinal scale might not be perceptually ...
Hui Men, Hanhe Lin, Mohsen Jenadeleh, Dietmar Saupe   +3 more
openaire   +7 more sources

Full Reference Objective Quality Assessment for Reconstructed Background Images

Journal of Imaging, 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   +3 more sources

Subjective and Objective Quality Assessment of Swimming Pool Images [PDF]

Frontiers in Neuroscience, 2022
As the research basis of image processing and computer vision research, image quality evaluation (IQA) has been widely used in different visual task fields. As far as we know, limited efforts have been made to date to gather swimming pool image databases and benchmark reliable objective quality models, so far.
Lei, Fei, Li, Shuhan, Xie, Shuangyi, Liu, Jing   +3 more
openaire   +4 more sources

Influence of affective image content on subjective quality assessment [PDF]

Journal of the Optical Society of America A, 2012
Image quality assessment (IQA) enables distortions introduced into an image (e.g., through lossy compression or broadcast) to be measured and evaluated for severity. It is unclear to what degree affective image content may influence this process. In this
Anders, Barrowcliff, Bhalla, Bouhuys, Bradley, Bruner, Chandler, Cohen, Cuthbert, Damera-Venkata, Dan-Glauser, de Ridder, Eskicioglu, Gorn, Hekstra, Ian van der Linde, Kortum, Lang, Larson, Li, Lin, Moorthy, Moorthy, Ni, Ponomarenko, Rachel M. Doe, Rajashekar, Savakis, Schwarz, Seshadrinathan, Sheikh, van Dijk, Veltkamp, Wallace, Wang, Wang, Winker   +36 more
core   +3 more sources

MATLAB-Based Applications for Image Processing and Image Quality Assessment – Part I: Software Description [PDF]

Radioengineering, 2011
This paper describes several MATLAB-based applications useful for image processing and image quality assessment. The Image Processing Application helps user to easily modify images, the Image Quality Adjustment Application enables to create series of ...
Jeanblanc, E., Klima, M., Krasula, L., Rogard, E.   +3 more
core   +2 more sources

Underwater Image Quality Assessment: Subjective and Objective Methods [PDF]

IEEE Transactions on Multimedia, 2022
Underwater image enhancement plays a critical role in marine industry. Various algorithms are applied to enhance underwater images, but their performance in terms of perceptual quality has been little studied. In this paper, we investigate five popular enhancement algorithms and their output image quality.
Pengfei Guo, Lang He, Shuangyin Liu, Delu Zeng, Hantao Liu   +4 more
openaire   +1 more source

Underwater Image Quality Assessment Method Based on Human Vision System [PDF]

Jisuanji gongcheng, 2020
Despite the high accuracy of existing underwater image quality assessment methods,they have weak correlation with subjective assessment of human beings,so it is difficult to achieve high-quality evaluation.To address the problem,this paper proposes an ...
ZHAO Xin, HOU Guojia, PAN Zhenkuan, LI Jingming, WANG Guodong
doaj   +1 more source

NITS-IQA Database: A New Image Quality Assessment Database

Sensors, 2023
This paper describes a newly-created image database termed as the NITS-IQA database for image quality assessment (IQA). In spite of recently developed IQA databases, which contain a collection of a huge number of images and type of distortions, there is ...
Jayesh Ruikar, Saurabh Chaudhury
doaj   +1 more source

Image Restoration Quality Assessment Based on Regional Differential Information Entropy

Entropy, 2023
With the development of image recovery models, especially those based on adversarial and perceptual losses, the detailed texture portions of images are being recovered more naturally. However, these restored images are similar but not identical in detail
Zhiyu Wang, Jiayan Zhuang, Sichao Ye, Ningyuan Xu, Jiangjian Xiao, Chengbin Peng   +5 more
doaj   +1 more source

No-reference super-resolution image quality assessment method using multi-layer perceptron regression

Xi'an Gongcheng Daxue xuebao, 2022
In order to solve the problem of poor consistency between the traditional super-resolution image quality assessment (SRIQA) index and human subjective perception, this paper presents a reference free super-resolution image quality evaluation method by ...
ZHU Danni, XU Xiaohua, HE Jingjing, WANG Chen, ZHANG Kaibing   +4 more
doaj   +1 more source