Demosaicking is the process of reconstructing a full-resolution color image from the sampled
data acquired by a digital camera that apply a color filter array to a single sensor. This paper …

Shape-from-focus (SFF) has widely been studied in computer vision as a passive depth
recovery and 3D reconstruction method. One of the main stages in SFF is the computation of …

As a powerful statistical image modeling technique, sparse representation has been
successfully used in various image restoration applications. The success of sparse …

Principal component analysis (PCA) has been widely applied in the area of computer
science. It is well-known that PCA is a popular transform method and the transform result is …

Image denoising and demosaicking are the first two crucial steps in digital camera pipelines.
In most of the literature, denoising and demosaicking are treated as two independent …

With advances in social engineering tricks and other technical shortcomings, ransomware
attacks have become a severe cybercrime affecting organizations of all shapes and sizes …

Demosaicking and denoising are among the most crucial steps of modern digital camera
pipelines and their joint treatment is a highly ill-posed inverse problem where at-least two …

Modern digital cameras rely on the sequential execution of separate image processing steps
to produce realistic images. The first two steps are usually related to denoising and …

The low-rank approximation method is one of the most effective approaches recently
proposed for attenuating random noise in seismic data. However, the low-rank …

Much mathematical effort has been devoted to developing Principal Component Analysis
(PCA), which is the most popular feature extraction method. To suppress the negative effect …