Results 31 to 40 of about 3,593,039 (336)
Компьютерная оптика, 2021 This paper describes the use of some color spaces in JPEG image compression algorithm and their impact in terms of image quality and compression ratio, and then proposes adaptive color space models (ACSM) to improve the performance of lossy image ...
S. Madenda, A. Darmayantie
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Applied Sciences, 2021 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
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On color image quality assessment using natural image statistics
, 2014 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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Data Fusion of RGB and Depth Data with Image Enhancement
Journal of ImagingSince 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
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Full Reference Objective Quality Assessment for Reconstructed Background Images
, 2018 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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Quality-Aware Unpaired Image-to-Image Translation [PDF]
IEEE Transactions on Multimedia, 2019 Generative Adversarial Networks (GANs) have been widely used for the image-to-image translation task. While these models rely heavily on the labeled image pairs, recently some GAN variants have been proposed to tackle the unpaired image translation task.
Lei Chen 0051 +3 more
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Sparse Representation-based Image Quality Assessment
, 2013 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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Novel X-ray imaging technology enables significant patient dose reduction in interventional cardiology while maintaining diagnostic image quality [PDF]
, 2015 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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SensorsIndustrial-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
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Quality Classified Image Analysis with Application to Face Detection and Recognition
, 2018 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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