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Exploring the digital imaging chain from sensors to brains
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Qualcomm, Nokia pump $20M into array camera start-up

Qualcomm, Nokia pump $20M into array camera start-up | pixels and pictures | Scoop.it

Array camera start-up Pelican Imaging Corp. has closed a $20 million Series C round of funding bringing the total invested in the company to more than $37 million since its formation in 2008. New investors include Qualcomm Ventures and Nokia Growth Partners who have joined existing investors Globespan Capital Partners, Granite Ventures, InterWest Partners and In-Q-tel.

Pelican Imaging has developed an array sensor architecture together with algorithms and software for image reconstruction, gesture recognition and other functions. Instead of using a single, high-resolution but expensive CMOS image sensor, the array camera averages multiple images to produce a single, enhanced-resolution image.

According to CTO Kartik Venkataraman, the principal advantages are reduced z height, superior performance under low light conditions, and the ability to offer 3D functions and gesture recognition. Venkataraman cofounded Pelican Imaging in 2008 with then CEO Aman Jabbi.

Philippe J DEWOST's insight:

Long play

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Gary Pageau's comment, June 17, 2013 11:04 AM
Still not sure the benefits are worth the cost.
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Image Sensors World: Apple Applies for HDR Imaging Patent, Looks for Highly Innovative Sensor Engineers

Image Sensors World: Apple Applies for HDR Imaging Patent, Looks for Highly Innovative Sensor Engineers | pixels and pictures | Scoop.it
Philippe J DEWOST's insight:

Apple applies for US2012/041398 patent titled "Image Sensor Having HDR Capture Capability" by Michael Frank.

"...there exist disadvantages to the process of generating a HDR image from multiple independently captured images. For example, changes may occur when images are captured successively such that a composite HDR image generated therefrom may not be completely aligned. This may generate motion artifacts in the composite HDR image. Further, the images may be affected by local motion in the image scene, e.g., trees swaying in the wind, people and faces shifting slightly, etc. Additionally, the time required for a HDR image to be processed may be delayed based on the images to be captured."

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