Single-pixel camera imaging is an emerging paradigm that allows high-quality images to be
provided by a device only equipped with a single point detector. A single-pixel camera is an …

Compressive sensing (CS) is a sub-Nyquist sampling framework that has been employed to
improve the performance of numerous imaging applications during the last 15 years. Yet, its …

Hyperspectral imaging (HSI) is an emerging technique, which provides the continuous
acquisition of electro-magnetic waves, usually covering the visible as well as the infrared …

In recent years, the theory of compressed sensing has emerged as an alternative for the
Shannon sampling theorem, suggesting that compressible signals can be reconstructed …

A single-pixel camera is a computational imaging device that only requires a single point
detector to capture the image of a scene. This device measures the inner product of the …

Pattern generalization was proposed recently as an avenue to increase the acquisition
speed of single-pixel imaging setups. This approach consists of designing some positive …

In order to attain better reconstruction quality from compressive sensing (CS) of images,
exploitation of the dependency or correlation patterns among the transform coefficients …

Natural images tend to mostly consist of smooth regions with individual pixels having highly
correlated spectra. This information can be exploited to recover hyperspectral images of …

Recent breakthrough results in compressive sensing (CS) have established that many high
dimensional signals can be accurately recovered from a relatively small number of non …

In recent years, tremendous progress has been made in high-dimensional inference
problems by exploiting intrinsic low-dimensional structure. Sparsity is perhaps the simplest …