We review advances in Computational Imaging that have occurred since the mid-1990s. The
advent of highly integrated platforms, such as the smartphone, has made the linkage …

We review the impact of deep-learning technologies on camera architecture. The function of
a camera is first to capture visual information and second to form an image. Conventionally …

We study the problem of deblurring light fields of general 3D scenes captured under 3D
camera motion and present both theoretical and practical contributions. By analyzing the …

Focus and depth of field are conventionally addressed by adjusting longitudinal lens
position. More recently, combinations of deliberate blur and computational processing have …

Compressive tomography consists of estimation of high-dimensional objects from lower
dimensional measurements. We review compressive tomography using radiation fields …

Recently, several camera designs have been proposed for either making defocus blur
invariant to scene depth or making motion blur invariant to object motion. The benefit of such …

Dexterous legged robots can move on variable terrain at high speeds. The locomotion of
these legged platforms on such terrain causes severe oscillations of the robot body …

A fundamental problem in conventional photography is that movement of the camera or
captured object causes motion blur in the image. In this research, we propose coding motion …

Camera systems in fast motion suffer from the effects of motion blur, which degrades image
quality and can have a large impact on the performance of visual tasks. The degradation in …

We review camera architecture in the age of artificial intelligence. Modern cameras use
physical components and software to capture, compress and display image data. Over the …