This review article provides a comprehensive survey on state-of-the-art impulse and
Gaussian denoising filters applied to images and summarizes the progress that has been …

A family of nonlinear filters based on order statistics is presented. A mathematical tool
derived through robust estimation theory, order statistics has allowed engineers to develop …

针对标准中值滤波方法存在的不足, 结合均值思想提出两种改进的中值滤波算法,
即加权快速中值滤波算法和加权自适应中值滤波算法, MATLAB 实验证实两种方法均能更好地 …

Fundamentals of Nonlinear Digital Filtering is the first book of its kind, presenting and
evaluating current methods and applications in nonlinear digital filtering. Written for …

A novel nonlinear filter, called tri-state median (TSM) filter, is proposed for preserving image
details while effectively suppressing impulse noise. We incorporate the standard median …

Previous median-based impulse detection strategies tend to work well for fixed-valued
impulses but poorly for random-valued impulse noise, or vice versa. This letter devises a …

We consider signal and image restoration using convex cost-functions composed of a non-
smooth data-fidelity term and a smooth regularization term. We provide a convergent …

A novel switching median filter incorporating with a powerful impulse noise detection
method, called the boundary discriminative noise detection (BDND), is proposed in this …

Existing state-of-the-art switching-based median filters are commonly found to be
nonadaptive to noise density variations and prone to misclassifying pixel characteristics at …

Enhancement of contrast and sharpness of an image is required in many applications.
Unsharp masking is a classical tool for sharpness enhancement. We propose a generalized …