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