InView Expands Compressive Sensing Workstations Series with Two New Products

My Note: Just saw this on Nuit Blanche, so thanks go to Igor Carron, for posting this.

http://nuit-blanche.blogspot.com/2013/02/inview-announces-compressive-sensing.html?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+blogspot%2FwCeDd+%28Nuit+Blanche%29

InView Expands Compressive Sensing Workstations Series with Two New Products

Austin, TX, January 31, 2013: InView Technology Corporation, the world leader in Compressive Sensing (CS) imaging products, has expanded its family of CS Workstations with the release of two new systems, the InView222 Compressive Sensing Workstation and the InView223 Spatial Light Modulator. Both systems allow researchers to prototype and test innovative computational imaging algorithms.

The InView222 builds upon the successful InView220 Compressive Sensing Workstation that was introduced by InView in 2012. The InView222 enables researchers to demonstrate novel CS algorithms on a complete hardware imaging platform. It allows researchers to apply measurement bases using a high-speed, spatial light modulator (SLM) sub-system, and to process the modulated image in a measurement sub-system. The measurement sub-system includes a single-diode CMOS detector, followed by an amplifier and analog-to-digital converter.

The InView223 provides a SLM sub-system and is coupled to user’s own measurement sub-system, allowing bench-top experiments in fields of research including computational imaging, computational photography, compressive sensing, and other fields requiring high-speed custom optical modulation.

Both the InView222 and InView223 give researchers an unprecedented ability to apply novel 1024x768 pixel modulation patterns at rates of up to 32,000 patterns per second using a digital micro-mirror device. Both systems accept externally-generated SLM patterns streamed from an external source over an eight lane, PCI Express 2.0 bus, which has sufficient speed to allow the SLM to run at full speed. The user does not need to buffer patterns in development system memory as is required by other micromirror-based products.

Both products leverage an objective lens optimized for visual light and use a standard M42 lens mount.

“InView’s Compressive Sensing Workstation Family allows researchers to easily demonstrate their advanced imaging algorithms on easy-to-use hardware,” stated Dr. Bob Bridge, InView’s founder and CEO. “These new products are a welcome addition to the Workstation launched last year.”

About InView

InView specializes in the design, development and manufacturing of imaging products based upon Compressive Sensing technology, including low-cost shortwave infrared (SWIR) cameras. Leveraging its patents in Compressive Sensing, InView’s InGaAs-based SWIR solutions can achieve superior results at dramatically reduced prices, and provide leadership price-performance for microscopy, security, surveillance, maritime navigation, military and other applications.

InView -Issued Patent on Compressive Sensing Camera Design

Compressive Sensing dramatically streamlines the opto-electrical architecture of 

high-performance shortwave infrared cameras

http://www.marketwatch.com/story/the-us-patent-and-trademark-office-uspto-issues-fundamental-patent-on-compressive-sensing-camera-design-2012-06-14

AUSTIN, Texas, Jun 14, 2012 (BUSINESS WIRE) -- The United States Patent and Trademark Office has issued patent 8,199,244 to Rice University. Patent 8,199,244 describes the basic architecture and design of a Compressive Sensing Camera, including the combination of a spatial light modular, a measurement basis, a single or small number of detector diodes, an analog-to-digital convertor and a reconstruction algorithm.

InView has an exclusive license from Rice University to apply patent 8,199,244 to imaging and hyperspectral imaging for wavelengths of ultraviolet, visual, infrared, and terahertz.

Bob Bridge, CEO of InView, said, "InView is pleased that the foundational invention of Compressive Sensing Imaging by Dr. Richard Baraniuk and Dr. Kevin Kelly of Rice University has been recognized. They built their breakthrough camera inventions on top of basic mathematical concepts previously developed, and were the first to demonstrate the application of compressive sampling theory to the design of imagers and cameras."

Bridge went on to say, "InView has defined additional application-focused IP that surrounds the basic inventions from Rice with detailed Compressive Sensing imaging implementation concepts. The combined patent portfolio benefits from a first-mover advantage, with first-mover research IP from Rice and first-mover development IP from InView."

Compressive Sensing Imaging allows cost-effective, high-resolution cameras to be built using a much smaller number of photodiode detectors than is required in a conventional camera. InView is initially using Compressive Sensing to introduce a family of low-cost, high-resolution Shortwave Infrared (SWIR) cameras. InView will additionally be applying the technology to deliver high-performance, cost-effective cameras in additional wavebands and to deliver hyperspectral imagers. Compressive Sensing shortwave infrared cameras are well suited for security, surveillance and maritime navigation applications because of their unique ability to see through impairments such as fog, haze, smoke and dust.

Patent 8,199,244 claims priority to the provisional filing date of April 2005.

InView Technology Corporation, www.inviewcorp.com , was incorporated in 2009 to commercialize the Compressive Sensing Imaging technology developed at Rice University. InView is located in Austin, Texas, and has received funding from a variety of venture capital, industrial and governmental sources.

SOURCE: InView Technology Corporation