The output image of a digital camera is subject to a severe degradation due to noise in the
image sensor. This paper proposes a novel technique to combine demosaicing and …

We introduce a machine learning approach to demosaicing, the reconstruction of color
images from incomplete color filter array samples. There are two challenges to overcome by …

The paper presents a novel despeckling method, based on Daubechies complex wavelet
transform, for medical ultrasound images. Daubechies complex wavelet transform is used …

A new fuzzy filter is presented for the reduction of additive noise for digital color images. The
filter consists of two subfilters. The first subfilter computes fuzzy distances between the color …

We deal with the problem of blind parameter estimation of signal-dependent noise from
mono-component image data. Multispectral or color images can be processed in a …

Single sensor digital color still/video cameras capture images using a color filter array (CFA)
and require color interpolation (demosaicking) to reconstruct full color images. The color …

Digital imaging has become omnipresent in the past years with a bulk of applications
ranging from medical imaging to photography. When pushing the limits of resolution and …

We develop a low-complexity overcomplete wavelet domain method for denoising digital
images corrupted with non-stationary white additive Gaussian noise. The noise level for …

Presented are new alternatives to the Bayer pattern for spatial subsampling in color imaging.
One aspect relates to a new design paradigm for spatio-spectral sampling The proposed …

This paper studies the statistical detection of data hidden in the Least Significant Bits (LSB)
plan of natural clipped images using the hypothesis testing theory. The main contributions …