Single-shot coded-aperture optical imaging physically captures a code-aperture-modulated
optical signal in one exposure and then recovers the scene via computational image …

High-speed, large-scale three-dimensional (3D) imaging of neuronal activity poses a major
challenge in neuroscience. Here we demonstrate simultaneous functional imaging of …

We present a novel method for the geometric calibration of micro-lens-based light field
cameras. Accurate geometric calibration is the basis of various applications. Instead of using …

Compressive spectral imaging (CSI) senses the spatio-spectral information of a scene by
measuring 2D coded projections on a focal plane array. A ℓ 1-norm-based optimization …

Image blur and noise are difficult to avoid in many situations and can often ruin a
photograph. We present a novel image deconvolution algorithm that deblurs and denoises …

This paper proposes a single-image blur kernel estimation algorithm that utilizes the
normalized color-line prior to restore sharp edges without altering edge structures or …

Traditional spectral imaging approaches require sensing all the voxels of a scene. Colored
mosaic FPA detector-based architectures can acquire sets of the scene's spectral …

A computational camera uses a combination of optics and processing to produce images
that cannot be captured with traditional cameras. In the last decade, computational imaging …

We propose a non-permanent add-on that enables plenoptic imaging with standard
cameras. Our design is based on a physical copying mechanism that multiplies a sensor …

Since 1960s, aperture patterns have been studied extensively and a variety of coded
apertures have been proposed for various applications, including extended depth of field …