At the crossing of the statistical and functional analysis, there exists a relentless quest for an
efficient image denoising algorithm. In terms of greyscale imaging, a plethora of denoising …

Computational imaging plays an important role in medical treatment for providing more
comprehensive medical images. This work proposes a new scheme to fuse computed …

Traditional image denoising methods, which do not depend on data training, have good
interpretability. However, traditional image denoising methods hardly achieve the denoising …

In the COVID-19 era, it may be possible to detect COVID-19 by detecting lesions in scans, ie,
ground-glass opacity, consolidation, nodules, reticulation, or thickened interlobular septa …

Used in a wide variety of transform based statistical image processing techniques, the
hidden Markov tree (HMT) model with Gaussian mixtures is typically employed to capture …

An algorithm for a sharpness evaluation of microscopic images based on non-subsampled
shearlet wave transform (NSST) and variance is proposed in the present study for the …

The existence of strong random noise in surface microseismic data may decrease the utility
of these data. Non‐subsampled shearlet transform can effectively suppress noise by …

Magnetic resonance imaging (MRI) is a very effective method for identifying any abnormality
in the structure and physiology of the spine. However, MRI is time consuming as well as …

由于随机噪声的干扰, 地震勘探的有效信号经常淹没其中难以识别, 且在时间域难以分离随机
噪声和有效信号. Shearlet 变换是一种新的多尺度多方向时频分析方法, 具有最优的稀疏表示 …

Segmentation and labeling of vertebrae in MRI images of the spine are critical for the
diagnosis of illnesses and abnormalities. These steps are indispensable as MRI technology …