Image enhancement of the galaxy VV371c using the 2D fast wavelet transform

James F. Scholl

doi:10.1117/12.185886

16 September 1994 Image enhancement of the galaxy VV371c using the 2D fast wavelet transform

James F. Scholl

Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185886
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States

Abstract

The fast wavelet transform for images developed by Mallat is a useful and powerful tool for image processing, with its main applications being compression, feature extraction and image enhancement. In particular, since this algorithm segments an image with respect to both spatial frequency and orientation, image enhancement becomes more precise and efficient. This idea is demonstrated by the removal of background noise and flaws from two digitized images of the faint galaxy VV371c. This object was first studied in the early 1980's using older and less sophisticated computer technologies and image processing techniques. We present results of the wavelet based image analysis of VV371c which yield new conclusions as to this galaxy's structure and morphological classification.

Citation Download Citation

James F. Scholl "Image enhancement of the galaxy VV371c using the 2D fast wavelet transform", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185886

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