This letter presents a method of synthetic aperture radar (SAR) image despeckling aimed to preserve the detail information while suppressing speckle noise. This method combines the nonlocal self-similarity partition and a proposed modified sparse decomposition. The nonlocal partition method groups a series of structure-similarity data sets. Each data set has a good sparsity for learning an over...

The goal of this work is to use edge continuity metrics to improve the detection of salient edges in images. It is argued that continuity can act as a proxy for saliency in broad classes of images, especially those involving the extraction of human-made artefacts from natural scenes. Multiple interrelated methods of determining directional edge continuity and strength are described and evaluate...

This report presents about the comparison of the performance among four different adaptive algorithms for suppressing impulsive noise. They are filtered-x least mean square (FXLMS) algorithm, least mean M-estimate (LMM) algorithm, filtered-x least mean M-estimate (FXLMM) algorithm, and a modified FXLMM algorithm. A designed noise, which is composed of impulsive noise and background noise, is us...

The process of suppressing the back ground noise in speech signals can be improved by subtraction of an estimate of the average noise spectrum from the noisy signal spectrum. The main objective of this paper is to implement and evaluate speech enhancement techniques based on spectral subtraction methods in presence of noise. The two techniques discussed in this paper are spectral subtraction fi...