@inproceedings{scholars646,
           title = {Image enhancement: A composite image approach using contourlet transform},
         address = {Selangor},
          volume = {1},
            note = {cited By 2; Conference of 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009 ; Conference Date: 5 August 2009 Through 7 August 2009; Conference Code:78402},
             doi = {10.1109/ICEEI.2009.5254801},
         journal = {Proceedings of the 2009 International Conference on Electrical Engineering and Informatics, ICEEI 2009},
           pages = {135--140},
            year = {2009},
          author = {Asmare, M. H. and Asirvadam, V. S. and Izhar, L. I.},
            isbn = {9781424449132},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-70449659503&doi=10.1109\%2fICEEI.2009.5254801&partnerID=40&md5=c622845c30f50b8e0cdc383118772e4b},
        keywords = {Composite images; Contourlet transform; Contourlets; Fusion rule; Image enhancement algorithm; Information contents; Input image; Multi-resolution wavelet transform; Multiple resolutions; Single images; Still images, Electrical engineering; Image enhancement; Mathematical transformations; Multiresolution analysis, Image fusion},
        abstract = {Most existing image enhancement algorithms work on a single image. Their performance is limited by the capacity of the sensor by which the image is originally taken. In some cases they completely fail to provide us the necessary enhancements. Here we propose a composite image enhancement approach for enhancing still images. We combine the relevant features of the input images and produce a composite image which is rich in information content. The input images are first decomposed into multiple resolutions by using the contourlet transform which provides a better representation than the conventional wavelet 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 artificial artefacts and distortion. {\^A}{\copyright} 2009 IEEE.}
}