Super‐Resolution reconstruction produces one or a set of high‐resolution images from a
sequence of low‐resolution frames. This article reviews a variety of Super‐Resolution …

Humans perceive the three-dimensional structure of the world with apparent ease. However,
despite all of the recent advances in computer vision research, the dream of having a …

This paper proposes an edge-directed interpolation algorithm for natural images. The basic
idea is to first estimate local covariance coefficients from a low-resolution image and then …

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 …

Sparse representations of signals have drawn considerable interest in recent years. The
assumption that natural signals, such as images, admit a sparse decomposition over a …

The author begins by discussing the image formation process. The demosaicking methods
are examined in three groups: the first group consists of heuristic approaches. The second …

Single sensor digital color cameras capture only one of the three primary colors at each
pixel and a process called color demosaicking (CDM) is used to reconstruct the full color …

In recent years, a large amount of multi-disciplinary research has been conducted on sparse
models and their applications. In statistics and machine learning, the sparsity principle is …

Most commercial digital cameras use color filter arrays to sample red, green, and blue colors
according to a specific pattern. At the location of each pixel only one color sample is taken …

We demonstrate lensfree digital microscopy on a cellphone. This compact and light-weight
holographic microscope installed on a cellphone does not utilize any lenses, lasers or other …