Image Enhancement by Fusion in Contourlet Transform

Asirvadam , Vijanth Sagayan and Asmare, Melkamu and Izhar, Lila I and M.H.A., Fadzil (2010) Image Enhancement by Fusion in Contourlet Transform. International Journal on Electrical Engineering and Informatics, 2 (1). pp. 29-42. ISSN 2085-6830

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Most existing image enhancement algorithms work on a single image. Their
performance is limited to the capacity of the sensor by which the image is taken. In some cases
they completely fail to provide us the necessary enhancements. This paper proposes a
composite image approach for enhancing still images. The approach proposed combines the
relevant features of the input images and produce a composite image which is rich in
information content for human eye. The input images are first decomposed into multiple
resolutions by using the contourlet transform which provides a better representation than the
conventional transforms. Transformed coefficients are combined with a predefined fusion rules. The resultant image is found by performing inverse contourlet transformation of the composite image. The results found are encouraging and the algorithm does not introduce any distortion for applications in low light and/or non uniform lighting conditions. The composite image also contains almost all of the salient features of the input images.

Item Type: Article
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE: Centre of Excellence > Center for Intelligent Signal and Imaging Research
Depositing User: Dr Vijanth Sagayan Asirvadam
Date Deposited: 04 Jan 2011 00:38
Last Modified: 01 Apr 2014 06:06

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