DocumentCode
3086947
Title
An overview of logarithm-based image processing techniques for biomedical applications
Author
Cahill, L.W. ; Deng, G.
Author_Institution
Sch. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
Volume
1
fYear
1997
fDate
2-4 Jul 1997
Firstpage
93
Abstract
Logarithm-based image processing methods are of interest since they have the capability to enhance low-contrast images. This paper presents an overview of the three logarithm-based image processing techniques: the multiplicative homomorphic system (MHS), the log-ratio (LR) and the logarithmic image processing model (LIP). They are compared from physical, computational, and application point of views
Keywords
image enhancement; medical image processing; biomedical applications; log-ratio method; logarithm-based image processing; logarithmic image processing model; low-contrast image enhancement; multiplicative homomorphic system; Abstract algebra; Biomedical engineering; Biomedical signal processing; Convolution; Digital signal processing; Image processing; Linear systems; Signal processing; Signal processing algorithms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Proceedings, 1997. DSP 97., 1997 13th International Conference on
Conference_Location
Santorini
Print_ISBN
0-7803-4137-6
Type
conf
DOI
10.1109/ICDSP.1997.627976
Filename
627976
Link To Document