background motion artifacts that degrade image quality of coronary ct angiography (ccta) in patients with high heart rates may be reduced with specific automatic motion correction algorithms (amc). conclusions ccta image quality improves significantly with amc in patients with high heart rates and reduces the proportion of non-diagnostic examinations. results mean heart rate during ccta was 61 ...

Measuring visual quality of printed media is important as printed products play an essential role in every day life. The image quality assessment has been an active research topic in digital image processing, but adapting the developed methods to measuring visual quality of printed media has been considered rarely and is not straightforward. In this work, different methods for the quality asses...

Introduction In radiography, dose and image quality are dependent on radiographic parameters. The problem is caused from incorrect use of radiography equipment and from the radiation exposure to patients much more than required. Therefore, the aim of this study was to implement a quality-control program to detect changes in exposure parameters, which may affect diagnosis or patient radiation do...

Image and video quality evaluation is very important. In applications involving signal transmission, the Reducedor No-Reference quality metrics are generally more practical than the Full-Reference metrics. Digital watermarking based quality evaluation emerges as a potential Reducedor No-Reference quality metric, which estimates signal quality by assessing the degradation of the embedded waterma...

introduction: consumers have referred to the web to learn how they can improve their health, prevent disease and learn details about specific diseases. while efforts are being made to monitor information found on the web especially with the emergence of her: electronic health record in iran, they are not enough to cover every web site with health information. as a result, it was decided to eval...

Face image quality can be defined as a measure of the utility of a face image to automatic face recognition. In this work, we propose (and compare) two methods for automatic face image quality based on target face quality values from (i) human assessments of face image quality (matcher-independent), and (ii) quality values computed from similarity scores (matcher-dependent). A support vector re...

Face image quality can be defined as a measure of the utility of a face image to automatic face recognition. In this work, we propose (and compare) two methods for learning face image quality based on target face quality values from (i) human assessments of face image quality (matcher-independent), and (ii) quality values computed from similarity scores (matcherdependent). A support vector regr...

The quality of digital image is rarely perfect and images are usually subject to distortions during acquisition, compression, transmission, processing and reproduction. No-reference (NR) image quality assessment refers to the problem of evaluating the visual quality of an image without any reference. The aim of this paper is to develop a novel NR blur metric (NRBM) for quality evaluation of blu...

background: mammography is the primary imaging technique for detection and diagnosis of breast cancer; however, the contrast of a mammogram image is often poor, especially for dense and glandular tissues. in these cases the radiologist may miss some diagnostically important microcalcifications. in order to improve diagnosis of cancer correctly, image enhancement technology is often used to enha...