DocumentCode :
1768460
Title :
An enhanced histogram specification method using multiresolution
Author :
Kang Su-Min ; Huh Kyung-Moo ; Park Se-Hyuk ; Joo Young-Bok
Author_Institution :
Dept. of Electron. Eng., Dankook Univ., Cheonan, South Korea
fYear :
2014
fDate :
22-25 Oct. 2014
Firstpage :
1565
Lastpage :
1570
Abstract :
The histogram specification turns a shape of a histogram into that we want to specify. This technique can be applied usefully in various image processing fields such as machine vision. However, the histogram specification technique has its basic limits. For instance, the histogram does not have location information of pixels. Also, the accuracy of specification drops because of quantization error of digitized image. In this paper, we proposed a multiresolution histogram specification method in order to improve the accuracy of specification in terms of resemblance between destination and source image. The experimental results show that the proposed method dramatically enhances the accuracy of specification compared to the conventional methods.
Keywords :
image resolution; quantisation (signal); destination image; digitized image; enhanced histogram specification method; image processing; machine vision; multiresolution histogram specification method; quantization error; source image; Educational institutions; Histograms; ISO standards; Image resolution; Transforms; X-ray imaging; Accuracy; Histogram; Multiresolution; Quantization; Specification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2014 14th International Conference on
Conference_Location :
Seoul
ISSN :
2093-7121
Print_ISBN :
978-8-9932-1506-9
Type :
conf
DOI :
10.1109/ICCAS.2014.6987804
Filename :
6987804
Link To Document :
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