Adaptive smoothing of images with local weighted regression

Mark S. Levenson; David S. Bright; Jayaram Sethuraman

doi:10.1117/12.253437

8 October 1996 Adaptive smoothing of images with local weighted regression

Mark S. Levenson, David S. Bright, Jayaram Sethuraman

Proceedings Volume 2823, Statistical and Stochastic Methods for Image Processing; (1996) https://doi.org/10.1117/12.253437
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

Abstract

We present a weighting scheme for local weighted regression designed to achieve tow goals: (1) to reduce noise within image regions of smoothly varying intensities; and (2) to maintain sharp boundaries between image regions. Such a procedure can function as a preprocessing step in ann image segmentation problem or simply as an image enhancement technique.

Citation Download Citation

Mark S. Levenson, David S. Bright, and Jayaram Sethuraman "Adaptive smoothing of images with local weighted regression", Proc. SPIE 2823, Statistical and Stochastic Methods for Image Processing, (8 October 1996); https://doi.org/10.1117/12.253437

ACCESS THE FULL ARTICLE

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