Results 31 to 40 of about 3,396,344 (245)
On color image quality assessment using natural image statistics
Color distortion can introduce a significant damage in visual quality perception, however, most of existing reduced-reference quality measures are designed for grayscale images.
Abdelouahad, Abdelkaher Ait +3 more
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Novel X-ray imaging technology enables significant patient dose reduction in interventional cardiology while maintaining diagnostic image quality [PDF]
Objectives: The purpose of this study was to quantify the reduction in patient radiation dose during coronary angiography (CA) by a new X-ray technology, and to assess its impact on diagnostic image quality.
Bacher, Klaus +9 more
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Acceptance testing and commission are essential elements of the quality assurance program for imaging equipment. We present the results of a performance evaluation of Flat Panel-Based Cardiovascular Fluoroscopy X-ray Systems as a part of acceptance ...
Ibrahim I. Suliman +2 more
doaj +1 more source
Quality Classified Image Analysis with Application to Face Detection and Recognition
Motion blur, out of focus, insufficient spatial resolution, lossy compression and many other factors can all cause an image to have poor quality. However, image quality is a largely ignored issue in traditional pattern recognition literature.
Qiu, Guoping +3 more
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Data Fusion of RGB and Depth Data with Image Enhancement
Since 3D sensors became popular, imaged depth data are easier to obtain in the consumer sector. In applications such as defect localization on industrial objects or mass/volume estimation, precise depth data is important and, thus, benefits from the ...
Lennard Wunsch +4 more
doaj +1 more source
Objective Evaluation Criteria for Shooting Quality of Stereo Cameras over Short Distance [PDF]
Stereo cameras are the basic tools used to obtain stereoscopic image pairs, which can lead to truly great image quality. However, some inappropriate shooting conditions may cause discomfort while viewing stereo images.
Jiachen Yang, Rongrong Chu, Yun Liu
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PURPOSEThis study aimed to compare near-isotropic contrast-enhanced T1-weighted (CE-T1W) magnetic resonance enterography (MRE) images reconstructed with vendor-supplied deep-learning reconstruction (DLR) with those reconstructed conventionally in terms ...
Jung Hee Son +5 more
doaj +1 more source
Sparse Representation-based Image Quality Assessment
A successful approach to image quality assessment involves comparing the structural information between a distorted and its reference image. However, extracting structural information that is perceptually important to our visual system is a challenging ...
Guha, Tanaya +2 more
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Industrial-quality inspections, particularly those leveraging AI, require significant amounts of training data. In fields like injection molding, producing a multitude of defective parts for such data poses environmental and financial challenges ...
Dominik Schraml, Gunther Notni
doaj +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
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