A 1/13-inch 30fps VGA SoC CMOS image sensor with shared reset and transfer-gate pixel control

Johansson, Robert; Storm, A.; Stephansen, C.; Eikedal, S.; Willassen, T.; Skaug, S.; Martinussen, Tore; Whittlesea, D.; Ali, Ghulam; Ladd, John; Li, X.; Johnson, Scott D.; Rajasekaran, V.; Lee, Y.; Bai, Jingyi; Barboza-Flores, M.; Davies, Gordon; Samiy, H.; Hanvey, A.; Perks, D.

doi:10.1109/isscc.2011.5746376

Cited by 7 publications

(5 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Classical CMOS image acquisition systems follow the specifications that are demanded by electronic consumer product manufacturers [60]. Nowadays, the major development target of imagers relates to a very high pixel count and density, a high fill factor, a dynamic range that is adapted to the application, low power operation using classical circuit techniques [61], or fabrication process techniques, and in some specific cases high frame rate [62].…”

Section: Architecture-level Realizationsmentioning

confidence: 99%

Neuromorphic microelectronics from devices to hardware systems and applications

Schmid

2016

NOLTA

View full text Add to dashboard Cite

Neuromorphic systems aiming at mimicking some characteristics of the nervous systems of living humans or animals have been developed since the late 1980s', taking benefit of intrinsic properties and increasing performances of the successive silicon fabrication technologies. A regain of interest has been observed in the middle of the 2010s', which manifests itself from the emergence of large-scale projects integrating various computational and hardware perspectives, by the increased interest and involvement of industry and the growth of the volume of scientific publications. This paper reviews research directions and methods of neuromorphic microelectronics hardware, the developed hardware and its performance, and discusses current issues and potential future developments.

show abstract

Section: Architecture-level Realizationsmentioning

confidence: 99%

Neuromorphic microelectronics from devices to hardware systems and applications

Schmid

2016

NOLTA

View full text Add to dashboard Cite

show abstract

“…This work mainly compares a widely available high-cost CCD camera for microscopy use with a mid-performance low-cost CMOS camera. Obviously the characteristics of the CMOS sensor can highly be improved by use of better performing sensors from the market [26], [27] or from the literature [28], [29]. For other applications, the same metrics and post-processing algorithms or similar metrics can be used for comparison.…”

Section: Custom-designed Cmos Camera Vs Default Ccd Cameramentioning

confidence: 99%

Empowering Low-Cost CMOS Cameras by Image Processing to Reach Comparable Results with Costly CCDs

et al. 2013

View full text Add to dashboard Cite

Despite the hugeresearch effort to improve the performanceoftheComplementaryMetalOxideSemiconductor (CMOS) image sensors, Charge-Coupled Devices (CCDs) still dominate the cell biology related conventional fluorescence microscopic imaging market where low or ultra-low noise imaging is required. A detailed comparison of the sensor specifications and performance is usually not provided by the manufacturers which leads the end users not to go out of the habitude and choose a CCD camera instead of a CMOS one. However, depending on the application, CMOS cameras, when empowered by image processing algorithms can become cost-efficient solutions for conventional fluorescence microscopy. In this paper, we introduce an application-based comparative study between the default CCD camera of an inverted microscope (Nikon Ti-S Eclipse) and a custom-designed CMOS camera and apply efficient image processing algorithms to improve the performance of CMOS cameras. Quantum micro-bead samples that emit fluorescence light at different intensity levels, breast cancer diagnostic tissue cell and Caco-2 cell samples are imaged by both CMOS and CCD cameras and results are provided to show the reliability of CMOS camera processed images and finally to be of assistance when scientists select their cameras for desired applications.

show abstract

“…Theoretically, there is quantization loss in the process of ADC. However, such quantization loss becomes a minor influence because of the high precision ADC (more than 8 bit ADC [9], [10], [11]) used in contemporary digital cameras. Therefore, this influence is not considered in this paper.…”

Section: A Effect Of Illumination Changesmentioning

confidence: 99%

The joint effect of image blur and illumination distortions for Mobile Visual Search of print media

Cao

Ritz

Raad

2013

2013 13th International Symposium on Communications and Information Technologies (ISCIT)

View full text Add to dashboard Cite

Mobile Visual Search (MVS) is an emerging area of research given the explosion of smart and powerful mobile devices. Typically, the performance of MVS applications is influenced by the implemented image processing algorithms as well as various distortions that occur when capturing images by the mobile camera. This paper examines the joint effect of two common distortions, namely the illumination changes and image blurring on image matching accuracy for print media when using four state-of-the art local feature algorithms. Results obtained for a database of real camera images captured by two different camera models show that the illumination changes have a more negative effect on matching accuracy compared to image blurring and this influence is camera-dependent. Search (MVS) is an emerging area of research given the explosion of smart and powerful mobile devices. Typically, the performance of MVS applications is influenced by the implemented image processing algorithms as well as various distortions that occur when capturing images by the mobile camera. This paper examines the joint effect of two common distortions, namely the illumination changes and image blurring on image matching accuracy for print media when using four state-of-the art local feature algorithms. Results obtained for a database of real camera images captured by two different camera models show that the illumination changes have a more negative effect on matching accuracy compared to image blurring and this influence is camera-dependent. Abstract-Mobile Visual Keywords-mobile visual search, image feature matching, joint distortion)I.

show abstract

A 1/13-inch 30fps VGA SoC CMOS image sensor with shared reset and transfer-gate pixel control

Cited by 7 publications

References 4 publications

Neuromorphic microelectronics from devices to hardware systems and applications

Neuromorphic microelectronics from devices to hardware systems and applications

Empowering Low-Cost CMOS Cameras by Image Processing to Reach Comparable Results with Costly CCDs

The joint effect of image blur and illumination distortions for Mobile Visual Search of print media

Contact Info

Product

Resources

About