Results 31 to 40 of about 6,482 (156)
The nature of halogen bonding: insights from interacting quantum atoms and source function studies
A detailed study of the X...N (X = I, Br) halogen bonds in complexes formed by an extended set of substituted pyridines with D—X molecules (D = X, CN) is reported here.
Arianna Pisati +3 more
doaj +1 more source
Análise de qualidade de água no município de São João da Barra-RJ
A qualidade de água é fundamental para a saúde humana, o equilíbrio ambiental e o desenvolvimento. Ela deve atender a padrões de pureza para garantir seu uso seguro em consumo, agricultura, indústria e lazer. A água deve estar livre de contaminantes para
João Victor França de Abreu Terra +3 more
doaj +1 more source
Automatic assessing the quality of an image is a critical problem for a wide range of applications in the fields of computer vision and image processing. For example, many computer vision applications, such as biometric identification, content retrieval,
Pedro Garcia Freitas +3 more
doaj +1 more source
Efficiency comparison of several IQA.
Efficiency comparison of several IQA.
Yifan Li (327507) +4 more
core +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
Deep learning-based automatic image quality assessment in ultra-widefield fundus photographs
Objective With a growing need for ultra-widefield fundus (UWF) fundus photographs in clinics and AI development, image quality assessment (IQA) of UWF fundus photographs is an important preceding step for accurate diagnosis and clinical interpretation ...
Sang Jun Park +4 more
doaj +1 more source
A quality assessment algorithm for no-reference images based on transfer learning [PDF]
Image quality assessment (IQA) plays a critical role in automatically detecting and correcting defects in images, thereby enhancing the overall performance of image processing and transmission systems.
Yang Yang, Chang Liu, Hui Wu, Dingguo Yu
doaj +2 more sources
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

