Optical imaging is commonly used for both scientific and technological applications across
industry and academia. In image sensing, a measurement, such as of an object's position or …

Computational optical imaging (COI) systems leverage optical coding elements (CEs) in
their setups to encode a high-dimensional scene in a single or in multiple snapshots and …

Video snapshot compressive imaging (SCI) aims to capture a sequence of video frames with
only a single shot of a 2D detector, whose backbones rest in optical modulation patterns …

Signal capture is at the forefront of perceiving and understanding the environment; thus,
imaging plays a pivotal role in mobile vision. Recent unprecedented progress in artificial …

Optical coding is an essential technique in computational imaging (CI) that allows high-
dimensional signal sensing through post-processed coded projections to decode the …

Computationally removing the motion blur introduced by camera shake or object motion in a
captured image remains a challenging task in computational photography. Deblurring …

Snapshot compressive imaging (SCI) is an advanced approach for single-shot high-
dimensional data visualization. Deep learning is popularly used to improve SCI's …

We propose a method for compressively acquiring a dynamic light field (a 5-D volume)
through a single-shot coded image (a 2-D measurement). We designed an imaging model …

We propose a novel single-shot high dynamic range (HDR) imaging algorithm based on
exposure-aware dynamic weighted learning, which reconstructs an HDR image from a …

We propose a computational imaging method for time-efficient light-field acquisition that
combines a coded aperture with an event-based camera. Different from the conventional …