Results 51 to 60 of about 18,389 (218)
Construction of a novel IQA Function and Applications [PDF]
The current image quality methods can only be able to assess quality degradation and can not be able to assess quality improvement after an image passing through a system. Here proposes a novel image quality assessment function (IQAF) based on the long term experiences. The IQAF is able to assess quality degradation as well as quality improvement after
Z.X. Xie +4 more
openaire +1 more source
Efficient No-Reference Quality Assessment and Classification Model for Contrast Distorted Images
In this paper, an efficient Minkowski Distance based Metric (MDM) for no-reference (NR) quality assessment of contrast distorted images is proposed. It is shown that higher orders of Minkowski distance and entropy provide accurate quality prediction for ...
Cheriet, Mohamed, Nafchi, Hossein Ziaei
core +1 more source
Partition of electronic excitation energies: the IQA/EOM-CCSD method [PDF]
We put together equation of motion coupled cluster theory and the interacting quantum atoms electronic energy partition to determine how an absorbed photon changes atomic energies as well as covalent and noncovalent interactions within a molecule or molecular cluster.
Alberto Fernández-Alarcón +6 more
openaire +3 more sources
Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
Image Quality Assessments by Leveraging Diverse Visual Tasks
Image 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
A Regression-Based Family of Measures for Full-Reference Image Quality Assessment
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
Unifying Structural and Semantic Similarities for Quality Assessment of DIBR-Synthesized Views
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
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
Full Reference Objective Quality Assessment for Reconstructed Background Images
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
ABSTRACT Parent–child biobehavioral synchrony, or the concordance of behavior and physiological indicators between individuals, is theorized to support children's social development; however, this relationship has yet to be investigated in autistic children.
Carly Moser +5 more
wiley +1 more source

