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 …

Magnetic resonance imaging (MRI) has become a widely used medical imaging method.
Affected by imaging mechanism, magnetic field inhomogeneity and other factors, MRI …

In this paper, an efficient method based on the Fourier decomposition method (FDM) is
presented for noise removal of medical microscopic images. We propose an adaptive …

With the rapid development of computer networks and multimedia technologies, images,
which are important carriers of information dissemination, have made human cognition of …

Ultrasound Elastography is a late-model Ultrasound imaging technique mainly used to
diagnose tumors and diffusion diseases that can't be detected by traditional Ultrasound …

In deep exploration, we often use high-noise and high-resolution astronomical images
because of long distance transmission, cosmic noise interference, or other disturbances …

摘要图信号处理是解决不规则的数据最有效的方法之一, 为此研究了基于聚分类图信号的稀疏
恢复算法, 针对复杂不规则的阵列信号, 对相似性大的信号原子进行聚类分块 …

Image block matching is one of active research fields in image processing, which has been
widely used in security monitoring and motion estimation. Due to great disparities in images …

In this research, a hybrid multiresolution method is proposed for image denoising, which is
the combination of Statistical Nearest Neighbor (SNN) and Wave Atom Transform (WAT) …

The captured images mostly suffer from additive noise present in the environment, making
image denoising a challenging field of research. Recently, image compressive sensing (CS) …