DocumentCode :
750198
Title :
The study of logarithmic image processing model and its application to image enhancement
Author :
Deng, G. ; Cahill, L.W. ; Tobin, G.R.
Author_Institution :
Dept. of Electron. Eng., La Trobe Univ., Bundoora, Vic., Australia
Volume :
4
Issue :
4
fYear :
1995
fDate :
4/1/1995 12:00:00 AM
Firstpage :
506
Lastpage :
512
Abstract :
Describes a new implementation of Lee´s (1980) image enhancement algorithm. This approach, based on the logarithmic image processing (LIP) model, can simultaneously enhance the overall contrast and the sharpness of an image. A normalized complement transform has been proposed to simplify the analysis and the implementation of the LIP model-based algorithms. This new implementation has been compared with histogram equalization and Lee´s original algorithm
Keywords :
arithmetic; image enhancement; transforms; histogram equalization; image contrast; image enhancement; image sharpness; logarithmic image processing model; normalized complement transform; Algorithm design and analysis; Artificial intelligence; Brightness; Dynamic range; Histograms; Humans; Image enhancement; Image processing; Pixel; Visual system;
fLanguage :
English
Journal_Title :
Image Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1057-7149
Type :
jour
DOI :
10.1109/83.370681
Filename :
370681
Link To Document :
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