Results 21 to 30 of about 1,174,545 (317)
Contactless heart rate measurement in newborn infants using a multimodal 3D camera system
Frontiers in Pediatrics, 2022 Newborns and preterm infants require accurate and continuous monitoring of their vital parameters. Contact-based methods of monitoring have several disadvantages, thus, contactless systems have increasingly attracted the neonatal communities' attention ...
Libor Svoboda +6 more
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Image Quality in Mammography [PDF]
Radiology, 1977 Image quality in mammography is affected by the shape, size, and x-ray absorption properties of the anatomic part or lesion to be radiographed in addition to x-ray beam quality, geometric unsharpness, and the resolution, characteristic curve, and noise properties of the recording system.
Haus, A. G. +3 more
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Perceptual image attribute scales derived from overall image quality assessments [PDF]
, 2009 Psychophysical scaling is commonly based on the assumption that the overall quality of images is based on the assessment of individual attributes which the observer is able to recognise and separate, i.e. sharpness, contrast, etc. However, the assessment
Triantaphillidou, S. +2 more
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Micromachines, 2022 In the development and optimization of biotechnological cultivation processes the continuous monitoring through the acquisition and interpretation of spectral and morphological properties of bioparticles are challenging. There is therefore a need for the
Paul-Gerald Dittrich +4 more
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Validation of the influence of CT slice thickness on the quantitative accuracy and image quality of single photon emission computed tomography [PDF]
Asia Oceania Journal of Nuclear Medicine and Biology, 2021 Objective(s): Computed tomography (CT) images are used for precise anatomical location of lesions and for accurate attenuation correction in single-photon emission computed tomography (SPECT) image reconstruction in SPECT/CT examination.
Tomohiro Sato, Takashi Takagi
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Predicting image quality using a modular image difference model [PDF]
, 2008 The paper is focused on the implementation of a modular color image difference model, as described in [1], with aim to predict visual magnitudes between pairs of uncompressed images and images compressed using lossy JPEG and JPEG 2000.
Triantaphillidou, S. +2 more
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A more effective CT synthesizer using transformers for cone-beam CT-guided adaptive radiotherapy
Frontiers in Oncology, 2022 PurposeThe challenge of cone-beam computed tomography (CBCT) is its low image quality, which limits its application for adaptive radiotherapy (ART). Despite recent substantial improvement in CBCT imaging using the deep learning method, the image quality ...
Xinyuan Chen +10 more
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Journal of Electronic Imaging, 2019 We have collected a large dataset of subjective image quality “*nesses,” such as sharpness or colorfulness. The dataset comes from seven studies and contains 39,415 quotations from 146 observers who have evaluated 62 scenes either in print images or on display.
Toni Virtanen +2 more
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Image analysis and statistical modelling for measurement and quality assessment of ornamental horticulture crops in glasshouses [PDF]
, 2009 Image analysis for ornamental crops is discussed with examples from the bedding plant industry. Feed-forward artificial neural networks are used to segment top and side view images of three contrasting species of bedding plants.
Parsons, Nicholas R. +2 more
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Boosting in image quality assessment [PDF]
2016 IEEE 18th International Workshop on Multimedia Signal Processing (MMSP), 2016 In this paper, we analyze the effect of boosting in image quality assessment through multi-method fusion. Existing multi-method studies focus on proposing a single quality estimator. On the contrary, we investigate the generalizability of multi-method fusion as a framework.
Dogancan Temel, Ghassan AlRegib
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