The principal advantages of dual-energy computed tomography (CT) over conventional CT in the musculoskeletal setting relate to the additional information provided regarding tissue composition, artifact reduction, and image optimization. This article discusses the manifestations of these in clinical practice-urate and bone marrow edema detection, metal artifact reduction, and tendon analysis, wi...

A major drawback of block-based still image or video compression methods at low rates are the visible block boundaries that are also known as blocking artifacts. Several methods have been proposed in the literature to reduce these artifacts for video sequences. However, most are simply adaptations of still image blocking artifact reduction methods, which do not exploit temporal information. In ...

OBJECTIVE Simultaneous acquisition of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) enables studies of brain activity at both high temporal and high spatial resolution. However, EEG acquired in a magnetic field is contaminated by ballistocardiogram (BKG) artifact. The most commonly used method of BKG artifact reduction, averaged artifact subtraction (AAS), was not ...

The goal of multi-frame image super-resolution is to use information from low-resolution images to construct highresolution images. Current multi-frame image super-resolution methods are highly sensitive to prominent large scale artifacts found within the low-resolution images, leading to reduced image quality. This paper presents a novel adaptive approach to large scale artifact reduction in m...

A motion artifact reduction method for proton chemical shift imaging (CSI) is presented. The method uses spiral-based readout gradients for data acquisition. A characteristic of spiral-based readout gradients is that data are repeatedly sampled at the kxy origin. These data points are used to estimate and correct for motion-induced phase variations. Both phantom and in vivo spectra reconstructe...

A novel frequency domain technique for image blocking artifact reduction is presented in this paper. For each block, its DC and AC coefficients are recalculated for artifact reduction. To achieve this, a closed form representation of the optimal correction of the DCT coefficients is produced by minimizing a novel enhanced form of the Mean Squared Difference of Slope (MSDS), for every frequency ...

Coding artifacts are annoying in highly compressed signals. Most of the existing artifact reduction methods are designed for one specific type of artifacts, codecs, and bitrates, which are complex and exclusive for one type of artifact reduction. Since both the compressed image/video and the coding error contain information of the original signal, they are highly correlated. Therefore, we try t...

In decoded digital video, the local perceptual compression artifact level depends on the global compression ratio and the local video content.we propose a new algorithm for block artifact reduction for which Machine Learning is used. In H.264 Video Compression Standard, an In-loop Deblocking filter is implemented to reduce the quantization noise around the block boundaries. But there would stil...

Introduction In CT imaging, metallic implants inside the tissues cause metal artifact that reduce the quality of image for diagnosis. In order to reduce the effect of this artifact, a new method with more appropriate results has been presented in this research work. Materials and Methods The presented method comprised of following steps: a) image enhancement and metal areas extraction, b) sinog...