In magnetic resonance imaging (MRI), the acquired images are usually not of high enough
resolution due to constraints such as long sampling times and patient comfort. High …

Image interpolation is the process of transforming a low-resolution image into a higher-
resolution image of a different size. The current study analyzes several picture interpolation …

Open spina bifida, also known as spina bifida aperta is a neural tube defect involving the
lack of closure of vertebral arches and associated meninges and/or spinal cord …

In magnetic resonance imaging (MRI), the super-resolution technology has played a great
role in improving image quality. The aim of this paper is to improve edges of brain MRI by …

Background Quality assessment of medical images is highly related to the quality
assurance, image interpretation and decision making. As to magnetic resonance (MR) …

Natural image quality assessment (NIQA) wins increasing attention, while NIQA models are
rarely used in the medical community. A couple of studies employ the NIQA methodologies …

Medical image segmentation is widely used in clinical medicine, and the accuracy of the
segmentation algorithm will affect the diagnosis results and treatment plans. However …

Super-resolution (SR) technology is essential for improving image quality in magnetic
resonance imaging (MRI). The main challenge of MRI SR is to reconstruct high-frequency …

Edge detection is a fundamental computer vision problem and has wide applications,
Convolutional neural networks (CNN) has been a good fundamental component in many …

Image sharpness is one of the most determining factors for image readability and scene
understanding. How to accurately quantify it is a hot topic. This paper systematically …