In this study, a new speckle reduction method was proposed in terms of by Bidimensional Empirical Mode Decomposition (BEMD). In this method, the SAR image containing speckle noise was decomposed into a number of elementary components by using BEMD and then the extremal points are done the boundary equivalent extension after screening and the residual continue to be done the boundary equivalent ...

This paper presents a novel perceptually based method for noise reduction of image signals characterized by low signal to noise ratios. The proposed method exploits the local phase characteristics of an image signal to perform bilateral filtering in an adaptive manner. The proposed method takes advantage of the human perception system to preserve perceptually significant signal detail while sup...

In this work, 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 (SM) filter and the center weighted median (CWM) filter into a noise detection framework to determine whether a pixel is corrupted, before applying filtering unconditionally. Extensive simulation re...

Median type filters take the main stream in suppressing impulse noise, and the Laplacian distribution assumption lays the basis for it. We however demonstrate in this paper that the Gaussian distribution assumption is more preferable than Laplacian distribution assumption in suppressing impulse noise, especially for high noise densities. This conclusion is supported by numerical experiments wit...

This paper presents a new algorithm for detection of fixed-valued and random-valued impulses from images based on locally obtained statistics. By incorporating the rank-conditioned median (RCM) and center-weighted median (CWM) filters into an impulse noise detection framework, an adaptive mechanism is formed for effectively reducing impulse noise while preserving image details. The rank-conditi...

Noise is a major issue while transferring images through all kinds of electronic communication. One of the most common noise in electronic communication is an impulse noise which is caused by unstable voltage. In this paper, the comparison of known image denoising techniques is discussed and a new technique using the decision based approach has been used for the removal of impulse noise. All th...

Through analysis of PCNN’s work principle, a noval filtering approach capable of detecting and removing impulsive noise in multi-channel images. The filter detects noise pixels in the image by utilizing PCNN’s specific feature that the fire of one neuron can capture firing of its adjacent neurons due to their spatial proximity and intensity similarity. Then it estimates the noise pixels by a VM...