DocumentCode :
3444549
Title :
Intensity-based gain adaptive unsharp masking for image contrast enhancement
Author :
Kwok, N. M. ; Shi, H. Y. ; Fang, Guangyou ; Ha, Q. P.
fYear :
2012
fDate :
16-18 Oct. 2012
Firstpage :
529
Lastpage :
533
Abstract :
With the increasing application of image processing techniques in various areas, contrast enhancement still remains as a core pre-processing element that critically affects the performance of subsequent procedures. Among the available enhancement methods, unsharp masking is one of the efficient approaches that could produce satisfactory results on a wide range of digital images. However, properly setting the unsharp masking algorithmic parameters is a challenging task. In this work, a gain adaptive scheme is proposed where enhancements are focused on the mid-range intensity regions. This approach effectively makes use of a Gaussian kernel to adjust the enhancement gain and reduces the probability of over-range artefact occurrences. Experiments are conducted on a collection of public available digital colour images and in-house captured real world images. Satisfactory test results have illustrated the performance of the proposed method.
Keywords :
adaptive gain; contrast enhancement; unsharp masking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image and Signal Processing (CISP), 2012 5th International Congress on
Conference_Location :
Chongqing, Sichuan, China
Print_ISBN :
978-1-4673-0965-3
Type :
conf
DOI :
10.1109/CISP.2012.6469772
Filename :
6469772
Link To Document :
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