Prostate cancer is the second most diagnosed cancer of men all over the world. In the last
few decades, new imaging techniques based on Magnetic Resonance Imaging (MRI) have …

We propose a robust wavelet domain method for noise filtering in medical images. The
proposed method adapts itself to various types of image noise as well as to the preference of …

Speaker identification is a widely used technique in several security systems. In remote
access systems, speaker utterances are recoded and communicated through a …

This paper presents an integrated method of the adaptive enhancement for an unsupervised
global-to-local segmentation of brain tissues in three-dimensional (3-D) MRI (Magnetic …

Medical images generally have low contrast and they get complex type of noise due to the
use of various devices and applications of various algorithms. However, most of the …

This paper presents an overview of image denoising algorithms ranging from wavelet
shrinkage to patchbased non-local processing. The focus is on the suppression of additive …

Two techniques for extracting flooded areas out of radar-imagery in a time-efficient way are
presented in this paper. The results of the object-oriented classification technique, based on …

In this paper, two interferometric SAR (InSAR) phase-filtering methods are proposed. These
methods are performed in the wavelet domain and employ the simultaneous detection and …

We develop a new filter which combines spatially adaptive noise filtering in the wavelet
domain and temporal filtering in the signal domain. For spatial filtering, we propose a new …

We develop a sequential wavelet domain and temporal filtering scheme, with jointly
optimized parameters, which results in high-quality video denoising over a large range of …