Results 41 to 50 of about 2,393 (179)
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley +1 more source
Image Quality Assessments by Leveraging Diverse Visual Tasks
IEEE AccessImage quality assessment (IQA) is a fundamental task in computer vision with the goal of accurately predicting the mean opinion score of humans for assessing the quality of images.
Joonhee Lee, Dongwon Park, Se Young Chun
doaj +1 more source
Unifying Structural and Semantic Similarities for Quality Assessment of DIBR-Synthesized Views
IEEE Access, 2022 Multi-view 3D content is subject to distortions during the process of depth image-based rendering (DIBR). Studies have shown the unreliable performance of the well-established image quality assessment (IQA) models for evaluation of DIBR-synthesized views
Saeed Mahmoudpour, Peter Schelkens
doaj +1 more source
iQAS: An integration platform for QoI assessment as a service for smart cities [PDF]
2016 IEEE 3rd World Forum on Internet of Things (WF-IoT), 2016 While reducing costs and improving sustainability, a common goal for Smart Cities is to become more “liveable” for their citizens. By taking advantage of new information sources offered by the Internet of Things (IoT), cities can rely on sensing platforms to improve their service offer.
Antoine Auger +2 more
openaire +2 more sources
A Regression-Based Family of Measures for Full-Reference Image Quality Assessment
Measurement Science Review, 2016 The advances in the development of imaging devices resulted in the need of an automatic quality evaluation of displayed visual content in a way that is consistent with human visual perception.
Oszust Mariusz
doaj +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
DrLS: Distortion‐Resistant Lossless Steganography via Colour Depth Interpolation
CAAI Transactions on Intelligence Technology, EarlyView.ABSTRACT The lossless data steganography is to hide a certain amount of information into a container image. Previous lossless steganography methods fail to strike a balance between capacity, imperceptibility, accuracy, and robustness, commonly vulnerable to distortion on container images.
Youmin Xu +3 more
wiley +1 more source
Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training
TechnologiesThe adversarial robustness of image quality assessment (IQA) models to adversarial attacks is emerging as a critical issue. Adversarial training has been widely used to improve the robustness of neural networks to adversarial attacks, but little in-depth
Anna Chistyakova +6 more
doaj +1 more source
Big Data and Cognitive ComputingThis paper proposes a novel method for transferable adversarial attacks from Image Quality Assessment (IQA) to Video Quality Assessment (VQA) models. Attacking modern VQA models is challenging due to their high complexity and the temporal nature of video
Georgii Gotin +3 more
doaj +1 more source
PENERAPAN METODE THAWĀB DAN ‘IQĀB DALAM MEMBENTUK AKHLAK SISWA DI SEKOLAH DASAR ACEH BESAR
Jurnal Ilmiah Didaktika: Media Ilmiah Pendidikan dan Pengajaran, 2016 This study examines the application of the thawÄb and 'iqÄb methods in forming the character of students in Islamic elementary school in Aceh Besar. ThawÄb and 'iqÄb are methods done by giving reward (thawÄb ) on learners who are excellent or well ...
Yunidar Yunidar
doaj +1 more source