Continuous Wavelet Decomposition in Real-Time for Multi-Resolution Analysis

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N/A
Agency Tracking Number: 36036
Amount: $69,993.00
Phase: Phase I
Program: SBIR
Awards Year: 1997
Solicitation Year: N/A
Solicitation Topic Code: N/A
Solicitation Number: N/A
Small Business Information
Tanner Research, Inc.
180 North Vinedo Ave., Pasadena, CA, 91107
DUNS: N/A
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Thomas Bartolac, Ph.d.
 (818) 792-3000
Business Contact
Phone: () -
Research Institution
N/A
Abstract
Wavelet representations of images has proven valuable for Multi-Resolution Analysis, but application of this technique has been limited by the computational requirements of the wavelet transform. The continuous wavelet transform can be formulated as a convolution, with a typical choice for kernel being the second derivative of the Gaussian. Convolving an image with this kernel is the intrinsic property of an analog circuit that can be implemented in a two-dimensional grid. Stimulating this circuit with a two-dimensional signal representing the pixel values of the image will produce an output corresponding to a wavelet decomposition of the image, all in real-time. By varying circuit control signals one achieves a continuous wavelet decomposition for arbitrary scale and shift parameters. Tanner Research proposes to develop an analog VLSI integrated circuit, the Real-Time Wavelet Transformer, for use in Multi-Resolution Analysis. It will accept input images and produce wavelet decompositions at video frame rates. Our revolutionary circuit concepts are efficiently implemented in analog VLSI, producing a Rcompact, high performance, low power signal processing component for desk-top and embedded image analysis applications. In Phase I we will design and fabricate an integrated circuit that will produce wavelet decompositions in real-time.

* information listed above is at the time of submission.

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