This paper approaches the problem of image denoising from an Independent Component Analysis (ICA) perspective. Considering that the pixels intensity constituting the crude images represents the useful signal corrupted with noise, we show that, a nonlinear ICA-based approach can provide a satisfactory solution to the NonLinear Blind Source Separation problem (NLBSS). SelfOrganizing Maps (SOMs) a...

The project is aimed at comparing performance of filters for pulse noise removal in images. 22 filters ([1-18]) were implemented on a Matlab platform and tested in terms of: False alarms errors Missing errors Estimation errors due to false alarms and missing Visual quality The comparison results are presented in form of tables in which the filters are sorted in descending order of the quality. ...

Abstrak –The objective of this paper is a new MeanMedian filtering for denoising extremely corrupted images by impulsive noise. Whenever an image is converted from one form to another, some of degradation occurs at the output. Improvement in the quality of these degraded images can be achieved by the application of Restoration and /or Enhancement techniques. Noise removing is one of the categor...

Most of the literature on denoising focuses on the additive-white-gaussian-noise (AWGN) model. However, in many important applicative fields, images are typically affected by non-Gaussian and/or colored noise, in which cases AWGN-based techniques fall much short of their promises. In this paper, we propose a new denoising technique for correlated noise based on the non-local approach. We start ...

The electroseismic method offers the possibility of imaging thin (much smaller than the seismic wavelength) layers in the subsurface. Removal of coherent source-generated noise is an essential step in the processing of electroseismic data. We present a signal-noise separation technique that begins with the determination of signal and noise prediction error filters (PEF’s) from windows of the or...

The values of pixels in an image may, for various reasons, be known only imprecisely. If so, the texture of that image may be used to help estimate the true pixel values. Texture is the interrelation of pixels in an image; where there is texture, the value of one pixel may give clues as to the values of other pixels. This chapter describes how to find the most likely pixel values of an image wh...

Most color image cameras today acquire only one out of the R, G, B values per pixel by means of a color filter array (CFA) in the hardware producing the so called ‘CFA image’. In-built software routines are required to undertake the task of obtaining the rest of the color information at each pixel through a process termed demosaicing. The most common CFA pattern is the well-known Bayer pattern ...

The Multi-scale Variance Stabilization Transform (MSVST) has recently been proposed for 2D Poisson data denoising. In this work, we present an extension of the MSVST with the wavelet transform to multivariate data–each pixel is vector-valued–, where the vector field dimension may be the wavelength, the energy, or the time. Such data can be viewed naively as 3D data where the third dimension may...

In this work, we consider a variational restoration model for multiplicative noise removal problem. By using a maximum a posteriori estimator, we propose a strictly convex objective functional whose minimizer corresponds to the denoised image we want to recover. We incorporate the anisotropic total variation regularization in the objective functional in order to preserve the edges well. A fast ...