Back to Search
Start Over
Dual-Tap Computational Photography Image Sensor With Per-Pixel Pipelined Digital Memory for Intra-Frame Coded Multi-Exposure
- Source :
- IEEE Journal of Solid-State Circuits. 54:3191-3202
- Publication Year :
- 2019
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2019.
-
Abstract
- A coded-exposure-pixel image sensor for computational imaging applications is presented. Each frame exposure time is divided into ${N}$ subframes. Within each subframe, each pixel sorts photo-generated charge into two charge taps depending on that pixel’s 1-bit binary code. ${N}$ global updates of arbitrary pixel-wise codes are implemented in each frame to enable ${N}$ short global pixel-specific subexposures within one frame. To make these subexposures global, two latches per pixel are utilized in a pipelined fashion. The code for the next subframe is loaded into latch 1 in a row parallel fashion, while the code for the current subframe is being applied by latch 2 globally for photo-generated charge sorting during the current subexposure. A $280^{H}\times 176^{V}$ image sensor prototype with $11.2{\text{-}}\mu \text{m}$ pixel pitch has been fabricated in a $0.11{\text{-}}\mu \text{m}$ CMOS image sensor (CIS) technology. The image sensor has been demonstrated in two computational photography applications, each using only a single frame of a video: 1) computing both albedo (a measure of reflectivity) and 3-D depth maps by means of structured-light imaging and 2) computing surface normals (3-D orientations) map by means of photometric stereo imaging. These demonstrations experimentally validate some of the unique capabilities of this computational image sensor, such as accurate 3-D visual scene reconstruction using only one camera, while maintaining its native specifications: the full spatial resolution and the maximum frame rate.
- Subjects :
- Pixel
Computer science
020208 electrical & electronic engineering
Frame (networking)
Photography
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
02 engineering and technology
Frame rate
Dot pitch
Computational photography
Photometric stereo
0202 electrical engineering, electronic engineering, information engineering
Electrical and Electronic Engineering
Image sensor
Image resolution
Algorithm
Surface reconstruction
Subjects
Details
- ISSN :
- 1558173X and 00189200
- Volume :
- 54
- Database :
- OpenAIRE
- Journal :
- IEEE Journal of Solid-State Circuits
- Accession number :
- edsair.doi...........db1d3eabc46e8881c9c94feae0539a7e