Dr. Michael S. Moore Profile

Dr. Michael S. Moore

at Computational Sensors Corp

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 13 November 2003 Paper

Analog 2D video processing and its application to wavelet filter banks

Michael Moore, Brian Amrine, John Langan

Proceedings Volume 5207, (2003) https://doi.org/10.1117/12.506497

KEYWORDS: Image processing, Continuous wavelet transforms, Wavelets, Analog electronics, Filtering (signal processing), Spatial filters, Image filtering, Video processing, Linear filtering, Signal processing

Read Abstract +

In this paper we introduce a biologically-inspired spatial video filtering chip and discuss its application in wavelet filter banks. Two types of spatial filtering chips have been developed - the thin film analog image processor (TAIP) and the switched-capacitor analog image processor (SCAIP). Each chip can filter video at high frame rates with Gaussian-like filters having adjustable widths. By linearly combining the outputs of a bank of spatial filter chips we can create a large variety of filters. Effective use of the filtering chips requires two things. First, an assessment of the filters that can be realized within the constraints of the hardware is required. Although any function within reasonable constraints can be decomposed into a combination of Gaussian functions, an efficient method to do so is an open problem. We have restricted ourselves to a simpler problem - given a limited number of Gaussian-like functions, what useful classes of filters can be generated? Second, given an image-processing application, a method to organize a choice of filters is needed. We are currently investigating these problems in the context of feature analysis/discrimination, and have found a useful organizing principle in the continuous wavelet transform (CWT).

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years