17 July 2000 Image enhancement method based on wavelet transform
Author Affiliations +
Proceedings Volume 4044, Hybrid Image and Signal Processing VII; (2000); doi: 10.1117/12.391926
Event: AeroSense 2000, 2000, Orlando, FL, United States
Abstract
The wavelet transform theory emerged in recent years has been applied in many fields, such as image compression, edge and feature detection, image enhancement and texture analysis. We have studied some of the developments that lead to the current state of image enhancement, sufficiently considering the configurations of video image and eyespot requirement. This paper presents a new method to accentuate image using multi-scale analysis, time-frequency wavelet transform and minimum distance criteria. After decomposing an image into components of different size, position, and orientation, the amplitude of coefficients in the wavelet transform domain can be altered prior to obtaining the inverse transform. This can selectively accentuate interesting components at the expense of undesirable ones. Experimental results have shown that simpler algorithm, faster running speed, rather improved SNR and contrast can be obtained with this method, resulting in a good enhancement effect.
© (2000) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bi Xu, Chengyu Fu, Jiaguang Ma, "Image enhancement method based on wavelet transform", Proc. SPIE 4044, Hybrid Image and Signal Processing VII, (17 July 2000); doi: 10.1117/12.391926; https://doi.org/10.1117/12.391926
PROCEEDINGS
8 PAGES


SHARE
KEYWORDS
Image enhancement

Wavelet transforms

Signal to noise ratio

Image processing

Wavelets

Video

Signal detection

RELATED CONTENT

Perception of dim targets on dark backgrounds in MRI
Proceedings of SPIE (March 20 2007)
Wavelet-based image target detection methods
Proceedings of SPIE (September 16 2003)
Edge detection based on wavelet analysis
Proceedings of SPIE (January 28 2009)
Wavelet transform for processing of video from MAIA system
Proceedings of SPIE (October 11 2011)

Back to Top