DocumentCode :
300574
Title :
Nonlinear edge enhancement
Author :
Greenspan, H. ; Akber, S.
Author_Institution :
Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
Volume :
1
fYear :
1995
fDate :
23-26 Oct 1995
Firstpage :
179
Abstract :
The article work extends a nonlinear, image enhancement scheme proposed by Greenspan and Anderson (see Proceedings of SPIE on Image and Video Processing II, vol.2182, p 2-13, 1993). We concentrate on parameter sensitivity in a global scheme, as well as motivate and discuss adaptive local parametrization in the enhancement algorithm. The enhancement scheme uses nonlinear filtering to augment the frequency spectrum of a blurred input (creating new high-spatial frequencies). As a result of the enhancement, images are created with higher resolution than the sampling rate would allow. This property is highly valuable in application domains which require limited bandwidth to represent or transmit images, including the HDTV and videophone markets
Keywords :
adaptive signal processing; edge detection; filtering theory; high definition television; image enhancement; image resolution; image sampling; nonlinear filters; parameter estimation; videotelephony; HDTV; adaptive local parametrization; bandwidth; blurred input; enhancement algorithm; frequency spectrum; global scheme; high-spatial frequencies; image resolution; nonlinear edge enhancement; nonlinear filtering; nonlinear image enhancement; parameter estimation; parameter sensitivity; sampling rate; videophone; Filtering; Frequency; HDTV; Image enhancement; Image reconstruction; Image resolution; Laplace equations; Nonlinear filters; Shape; Spatial resolution;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
Type :
conf
DOI :
10.1109/ICIP.1995.529575
Filename :
529575
Link To Document :
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