The logarithmic image processing model and its applications

Author

Deng, G. ; Cahill, L.W.

Author_Institution

Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia

fYear

1993

fDate

1-3 Nov 1993

Firstpage

1047

Abstract

This paper presents a summary of operations of the logarithmic image processing (LIP) model and its applications. The LIP model is a mathematical framework which provides a set of generalised version of addition, subtraction, multiplication, convolution and so on, for signal processing. First, we briefly describe the LIP model and point out its distinctive properties for image processing. Then we summarize the current applications of the LIP model. A novel image filtering algorithm and its extension to multiscale processing along with the LIP model based Sobel operator for edge detection are discussed in detail. Finally, we suggest further research area of the LIP model

Keywords

edge detection; filtering and prediction theory; image processing; Sobel operator; addition; convolution; edge detection; image filtering algorithm; logarithmic image processing model; multiplication; multiscale processing; research; signal processing; subtraction; Absorption; Brightness; Convolution; Digital signal processing; Filtering algorithms; Filters; Image edge detection; Image processing; Mathematical model; Signal analysis; Signal processing algorithms; X-ray imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Signals, Systems and Computers, 1993. 1993 Conference Record of The Twenty-Seventh Asilomar Conference on

Conference_Location

Pacific Grove, CA

ISSN

1058-6393

Print_ISBN

0-8186-4120-7

Type

conf

DOI

10.1109/ACSSC.1993.342410

Filename

342410