Compressive Sensing Image Sensors-Hardware Implementation

Dadkhah, Mohammadreza; Deen, M. Jamal; Shirani, Shahram

doi:10.3390/s130404961

Cited by 35 publications

(24 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…One of the first CS oriented sensors are single-pixel sensors associated with an array of digital micro-mirror devices (DMD) (Duarte et al, 2008). Implementations using more conventional multi-pixel arrays have been implemented using coded aperture cameras, switched-capacitor integrators (Dadkhah et al, 2013) and column sigma-delta ADCs (Oike and Gamal, 2013). Such sensing has been applied to a wide range of applications but more specifically where images are known to be sparse as in medical (MRI and CT), security (radar) and astronomy.…”

Section: Compressionmentioning

confidence: 99%

Advances on CMOS image sensors

Gouveia

Choubey

2016

View full text Add to dashboard Cite

This paper offers an introduction to the technological advances of image sensors designed using complementary metal-oxide-semiconductor (CMOS) processes along the last decades. We review some of those technological advances and examine potential disruptive growth directions for CMOS image sensors and proposed ways to achieve them. Those advances include breakthroughs on image quality such as resolution, capture speed, light sensitivity and color detection and advances on the computational imaging. The current trend is to push the innovation efforts even further as the market requires higher resolution, higher speed, lower power consumption and, mainly, lower cost sensors. Although CMOS image sensors are currently used in several different applications from consumer to defense to medical diagnosis, product differentiation is becoming both a requirement and a difficult goal for any image sensor manufacturer. The unique properties of CMOS process allows the integration of several signal processing techniques and are driving the impressive advancement of the computational imaging. With this paper, we offer a very comprehensive review of methods, techniques, designs and fabrication of CMOS image sensors that have impacted or might will impact the images sensor applications and markets.

show abstract

Section: Compressionmentioning

confidence: 99%

Advances on CMOS image sensors

Gouveia

Choubey

2016

View full text Add to dashboard Cite

show abstract

“…pixel [1,1] pixel [2,1] pixel [3,1] pixel [8,1] pixel [9,1] pixel [1,2] pixel [2,2] pixel [3,2] pixel [8,2] pixel [9,2] pixel [1,3] pixel [2,3] pixel [3,3] pixel [8,3] pixel [9,3] pixel [1,8] pixel [2,8] pixel [3,8] pixel [8,8] pixel [9,8] pixel [1,9] pixel [2,9] pixel [3,9] pixel [8,9] pixel [9,9] reset [1] reset [2] reset [3]…”

Section: Introductionmentioning

confidence: 99%

“…Image sensor implementations for compressive sensing have been studied widely in recent years, and many studies have been summarized in a survey paper [3]. In the design proposed by [14], pixels located on the same row are fed the same signal to control the exposure, and row-wise exposure pattern coding is performed in focal plane.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

High-speed imaging using CMOS image sensor with quasi pixel-wise exposure

Nagahara

Sonoda

Endo

et al. 2016

2016 IEEE International Conference on Computational Photography (ICCP)

View full text Add to dashboard Cite

Several recent studies in compressive video sensing have realized scene capture beyond the fundamental trade-off limit between spatial resolution and temporal resolution using random space-time sampling. However, most of these studies showed results for higher frame rate video that were produced by simulation experiments or using an optically simulated random sampling camera, because there are currently no commercially available image sensors with random exposure or sampling capabilities. We fabricated a prototype complementary metal oxide semiconductor (CMOS) image sensor with quasi pixel-wise exposure timing that can realize nonuniform space-time sampling. The prototype sensor can reset exposures independently by columns and fix these amount of exposure by rows for each 8×8 pixel block. This CMOS sensor is not fully controllable via the pixels, and has line-dependent controls, but it offers flexibility when compared with regular CMOS or chargecoupled device sensors with global or rolling shutters. We propose a method to realize pseudo-random sampling for high-speed video acquisition that uses the flexibility of the CMOS sensor. We reconstruct the high-speed video sequence from the images produced by pseudo-random sampling using an over-complete dictionary. The proposed method also removes the rolling shutter effect from the reconstructed video.

show abstract

“…Then, time-resolved images are reproduced by solving the inverse problem of the image-capturing process with the known shutter patterns. Based on compressive sampling [5], the number of reproduced images can be larger than that of the apertures. A basic idea of such an imaging system is introduced in [6].…”

mentioning

confidence: 99%

6.4 Single-shot 200Mfps 5×3-aperture compressive CMOS imager

Mochizuki

Kagawa

Okihara

et al. 2015

2015 IEEE International Solid-State Circuits Conference - (ISSCC) Digest of Technical Papers

View full text Add to dashboard Cite

Ultra-high-speed cameras are a powerful tool for biology as well as physics and mechanics to analyze the process of ultra-high-speed phenomena. The frame rate of the state-of-the-art burst-readout ultra-high-speed silicon imagers has reached approximately 20Mfps [1,2]. To observe faster phenomena such as plasma generation in laser processing, the state of electrons in a chemical reaction, and so on, much faster cameras are desired. There are several factors that prevent the speed-up of the ultra-high-speed imager: high gate control voltages and high power dissipation for high-efficiency multi-stage charge transfer in CCD imagers, and the current density limit of the power and ground lines and RC-constant of the vertical readout lines in CMOS imagers. Computational imaging can be a promising option to break the design limit of solid-state ultra-high-speed imagers. Several dedicated CMOS imagers have been demonstrated [3,4]. This paper presents a demonstration of a single-chip ultra-high-speed multi-aperture CMOS imager based on compressive sampling. The imager performs single-shot burst-readout image acquisition at a frame rate of 200Mfps.

show abstract

Compressive Sensing Image Sensors-Hardware Implementation

Cited by 35 publications

References 66 publications

Advances on CMOS image sensors

Advances on CMOS image sensors

High-speed imaging using CMOS image sensor with quasi pixel-wise exposure

6.4 Single-shot 200Mfps 5×3-aperture compressive CMOS imager

Contact Info

Product

Resources

About

Compressive Sensing Image Sensors-Hardware Implementation

Cited by 35 publications

References 66 publications

Advances on CMOS image sensors

Advances on CMOS image sensors

High-speed imaging using CMOS image sensor with quasi pixel-wise exposure

6.4 Single-shot 200Mfps 5&#x00D7;3-aperture compressive CMOS imager

Contact Info

Product

Resources

About

6.4 Single-shot 200Mfps 5×3-aperture compressive CMOS imager