Digital pathology and microscopy image analysis is widely used for comprehensive studies
of cell morphology or tissue structure. Manual assessment is labor intensive and prone to …

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 …

Compared with radar and visible light imaging, infrared imaging has its own unique
advantages, and in recent years, it has become a topic of intense research interest. Robust …

Although there has been a lot of progress in the general area of signal denoising, noise
removal remains a very challenging problem in real-world communication systems …

A new method is presented to denoise 1-D experimental signals using wavelet transforms.
Although the state-of-the-art wavelet denoising methods perform better than other denoising …

The first part of this paper proposes an adaptive, data-driven threshold for image denoising
via wavelet soft-thresholding. The threshold is derived in a Bayesian framework, and the …

A full-rank matrix \bfA∈R^n*m with n<m generates an underdetermined system of linear
equations \bfAx=\bfb having infinitely many solutions. Suppose we seek the sparsest …

Nonlocal self-similarity of images has attracted considerable interest in the field of image
processing and has led to several state-of-the-art image denoising algorithms, such as block …

In this paper, we develop the nonsubsampled contourlet transform (NSCT) and study its
applications. The construction proposed in this paper is based on a nonsubsampled …

Computer Processing of Remotely-Sensed Images A thorough introduction to computer
processing of remotely-sensed images, processing methods, and applications Remote …