Integral Research

FIELD IMAGE TOMOGRAPHY (FIT)

NOVEL TECHNOLOGY FOR
SAFER AND ACCURATE MEDICAL DIAGNOSIS
(Safer SPECT and Faster MRI)

CLICK ON THIS LINK FOR
NON-CONFIDENTIAL DISCLOSURE ON
FIELD IMAGE TOMOGRAPHY IN 12 SLIDES (PDF FILE)

More detailed information will be added later.

Dr. Muralidhara Subbarao
95 Manchester Ln, Stony Brook, NY 11790, USA.
Email: murali@fieldimage.net or rao@integralresearch.net
Ph. No.: 1-631-751-2627
www.IntegralResearch.net OR www.fieldimage.net

"We must know. We shall know." --David Hilbert

Rao Transforms (RTs) provide a brand new approach to the the century old problem of
Integral and Differential Equations in Mathematical Physics and Engineering.
They are also useful in shift-variant image and signal restoration, and in
3D Computer Vision through inverse optics. See the following web links for more information:

Refereed Conference Papers on RT:

1. M. Subbarao, Y. Kang, S. Dutta, and X. Tu, "Localized and Computationally Efficient Approach to Shift-variant Image Deblurring", IEEE Computer Society's International Conference on Image Processing, San Diego, Oct. 2008. [pdf] [Presentations slides used in the conference]

2. Xue Tu, Murali Subbarao, Youn-Sik Kang, "A New Approach to 3D Shape Recovery of Local Planar Surface Patches from Shift-Variant Blurred Images", IAPR's International Conference on Pattern Recognition", Dec. 2008.[pdf]

Patents on RT available for licensing:

1. M. Subbarao, “Methods and apparatus for computing the input and output signals
of a linear shift-variant system”, July 7, 2009, US patent No. 7,558,709. [Download pdf file].

2. M. Subbarao, “Direct Vision Sensor for 3D Computer Vision, Digital Imaging, and Digital Video",
Aug. 18, 2009, US patent No. 7,577,309. [Download pdf file].

M. Subbarao, inteq.pdf
“Unified Method and Apparatus for Solving Linear and Non-Linear Integral, Integro-Differential, and Differential Equations", US patent Application No. 11/242,191, filed on 10/03/2005. Published on the U.S. PTO website. Published Application No. 20060111882.

White Paper 1:
RAO TRANSFORMS: A New Approach to Integral and Differential Equations

White Paper 2:
    RTs: Application Example: Restoration of Shift-Variant Blurred Images

Book on Rao Transforms

First Seminar on RTs:
   March 28, 2007, 11 am, Room 250
   Dept. of Electrical and Computer Engg. SUNY at Stony Brook.

Seminar Presentation Slides on RTs

Seminar Abstract on RTs

Self-Published Book:

"Rao Transforms: A New Approach to Integral and Differential Equations",
      by Dr. Muralidhara SubbaRao (Rao), Second Edition, June 2007,
        self-published book, 130 pages,
       (First Edition U.S. Copyright Registration No. TX 6-195-821, June 1, 2005).

Buy online using credit cards MC/VISA/AMEX (through PayPal)

[ OR Make check payable to: M. Subbarao for $139 (US)/$149 (non-US), and mail with your shipping address to
    M. Subbarao, 95 Manchester Ln, Stony Brook, NY 11790, USA. ]

Selected pages from the book (click on the link below)
Front cover, dedication page, copyright notice page, Preface, Table of contents, selected chapters, and Back cover (pdf).

*Expert and internationally recognized researchers who would like to review this research may request a free copy of this book by sending email to rao@integralresearch.net. The author may provide a copy of the book to a limited number of experts. Their reviews may be posted on this website.

Dr. Muralidhara (Murali) Subbarao graduated with a B. Tech. degree in Electrical Engineering from the Indian Institute of Technology, Madras, and an M.S. and a Ph.D., both in Computer Science, from the University of Maryland at College Park. He is a Professor of Electrical and Computer Engineering at SUNY, Stony Brook University. His teaching and research interests are Computer Vision and Digital Image Processing. He has been the Principal Investigator of research grants from industry and the National Science Foundation. He has authored one book (research monograph other than that on RTs), published over 50 papers in professional journals and conferences, and is the inventor of 6

U.S.

patents four of which have been licensed to industry. He is a pioneer researcher in the field of Computer Vision who invented the Depth-from-Defocus technique that uses arbitrarily defocused images (without requirement of any focused image) for three-dimensional shape recovery. Eleven students have completed their Ph.D. thesis research under his supervision in the area of Computer Vision and Image processing. He was a principal member and the Chief Computer Scientist of a high-tech start-up company for online image management in 2000-2001.