USER INTERFACE: CompressViewTM
Lenore McMackin, PhD, President and CTO
InView Technology Corporation
lenore.mcmackin@inviewcorp.com
InView Technology Corporation Software for Compressive Imaging
USER INTERFACE: CompressViewTM
CompressView™ software is an easy to use interface developed in-house exclusively for use with
InView’s Compressive Sensing-based cameras. The application is designed to manage camera setup,
data capture and processing, and image reconstruction, display and saving. With this interface the user
can connect the camera to a network or automatically find any camera already on the network. Once
found, the camera is ready to use. Default parameters for acquisition, reconstruction and timing can be
easily changed using scroll down menus. The software comes included with every SWIR camera and is an
easy to use application compatible with virtually any Windows based PC. CompressView™ also contains
the camera’s API and is scalable and configurable for the development of application specific software
packages.
CompressView™ provides a mix of simple controls and more advanced features for the experienced
user, as shown in Fig. 1. InView’s image reconstruction software is based on an efficient algorithm for
solving a class of compressive sensing problems with Total Variation regularization. It is based on using
the augmented Lagrangian method and alternating minimization algorithms to solve subproblems, a
method first developed at Rice University [3]. InView has enhanced the basic TVAL algorithm with noise
reduction routines that allow the practical application of compressive sensing methods in ordinary
indoor and outdoor lighting environments.
Figure 1 – CompressView™ user interface
InView Software Description
Copyright © 2015, InView Technology Corporation
Preliminary Document: This document contains advanced information on a product under development. Specifications are subject to change without notice.
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Lenore McMackin, PhD, President/CTO, InView Technology Corporation, 6201 E. Oltorf St., Ste.400, Austin TX 78701
ABOUT INVIEW
From the foundational theory of compressive Sensing (developed only within the last decade)
researchers at Rice University invented the “Single-pixel camera” architecture that has only one pixel yet
constructs detailed images. InView Technology Corporation has licensed this foundational technology
from Rice and developed a compressive sensing computational imaging platform that constructs highresolution images from low-resolution sensors and represents a significant departure from traditional
digital cameras. [2] InView’s compressive sensing architecture has particularly strong advantages at
shortwave infrared wavelengths where InGaAs arrays are very expensive and low resolution. Now
protected by 13 issued patents and additional applications, this platform is embodied in the InView210™
camera that produces XGA resolution SWIR cameras from a single InGaAs detector. At 1024 x 768
pixels, XGA represents nearly twice the pixel count of typical SWIR cameras.
InView Technology Corporation is the clear leader in Compressive Sensing Imaging, and
continues to enhance its IP portfolio surrounding the implementation of its unique
imaging modality. InView welcomes licensing and investment inquiries. Contact us for
more information.
US Patents 8,970,740 ; 8,922,688 ; 8,885,073 ; 8,860,835 ; 8,760,542 ; 8,717,551 ;
8,717,492 ; 8,717,484; 8,717,463; 8,717,466 ; 8,634,009; 8,570,406; 8,570,405
What is
Compressive
Sensing
REFERENCES AND FURTHER READING
1. Lenore McMackin ; Matthew A. Herman ; Bill Chatterjee and Matt Weldon,
"A high-resolution SWIR camera via compressed sensing", Proc. SPIE 8353, Infrared Technology and
Applications XXXVIII, 835303 (May 1, 2012); http://dx.doi.org/10.1117/12.920050
2. James Tidman ; Tyler Weston ; Donna Hewitt ; Matthew A. Herman and Lenore McMackin
" Compact opto-electronic engine for high-speed compressive sensing ", Proc. SPIE 8856, Applications
of Digital Image Processing XXXVI, 885616 (September 26, 2013); http://dx.doi.org/10.1117/12.2024148
3. Chengbo Li, “An Efficient Algorithm For Total Variation Regularization with Applications to the Single
Pixel Camera and Compressive Sensing,” Master’s Thesis, Rice University, 2009.
InView Technology Corporation
6201 E. Oltorf Street, Suite 400
Austin, TX 78757
Tel: (512) 243-8751 x105
info@Inviewcorp.com
www.inviewcorp.com
© 2015 InView Technology Corporation. All rights reserved
InView Software Description
Copyright © 2015, InView Technology Corporation
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Preliminary Document: This document contains advanced information on a product under development. Specifications are subject to change without notice.
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