DocumentCode :
3416178
Title :
Optimally weighted highpass filters using multiscale analysis
Author :
Nowak, Robert D. ; Baraniuk, Richard G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Rice Univ., Houston, TX, USA
fYear :
1996
fDate :
8-9 Apr 1996
Firstpage :
224
Lastpage :
229
Abstract :
An obvious approach to image enhancement is to sharpen bright regions of an image more than darker regions. One very simple method to accomplish this is to weight the amount of highpass filtering proportional to the local mean. This gives rise to a class of nonlinear image enhancement filters known as mean-weighted highpass filters. We propose a general framework for studying a class of weighted highpass filters. Our framework, based on a multiscale signal decomposition, allows us to study a wide class of filters and to assess the merits of each. We derive an automatic procedure to optimally tune a filter to the local structure of the image under consideration. The entire algorithm is fully automatic and requires no parameter specification from the user. Several simulations demonstrate the efficacy of the proposed algorithm
Keywords :
circuit optimisation; filtering theory; high-pass filters; image enhancement; nonlinear filters; automatic algorithm; automatic procedure; highpass filtering; image enhancement; image structure; local mean; local structure; mean weighted highpass filters; multiscale analysis; multiscale signal decomposition; nonlinear image enhancement filters; optimally weighted highpass filters; simulations; Bonding; Filtering; Humans; Image edge detection; Image enhancement; Image recognition; Image restoration; Nonlinear filters; Pediatrics; Visual system;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Analysis and Interpretation, 1996., Proceedings of the IEEE Southwest Symposium on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-3200-8
Type :
conf
DOI :
10.1109/IAI.1996.493757
Filename :
493757
Link To Document :
بازگشت