COI code: ISCEE14_200
Paper Language: English
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Authors An Approach to Image Separation Using Non-Subsample Wavelet and Improved Non-subsample ContourletAdnan Gavili Gilan - Sharif University of Technology
Hossein Shokri Ghadikolaee - Sharif University of Technology
Abstract:when a thin paper is printed on both sides and we decide to scan it, we have a mixture of pictures from both sides. To separate these images we use scanned image from both sides. In this paper, we present three type of pre-processing as linear source separation. For a better separation, we use this fact that images rarely have edges in the same place and direction. Therefore, we use Non-Sub Sampled Wavelet Transform (NSWT) and Improved Non-Subsample Contourlet Transform (NSCT) de-noising for final separation. By using NSWT and NSC, we will achieve to very good separation results, since those strongly perform in representing edges. Experimental results show the presented methods have better separation performance.
Keywords:Image separation, contourlet, non-subsample wavelet, non-subsample contourlet
COI code: ISCEE14_200
how to cite to this paper:If you want to refer to this article in your research, you can easily use the following in the resources and references section:
Gavili Gilan, Adnan & Hossein Shokri Ghadikolaee, 2011, An Approach to Image Separation Using Non-Subsample Wavelet and Improved Non-subsample Contourlet, 14th Iranian Student Conference on Electrical Engineering, كرمانشاه, دانشگاه كرمانشاه, سازمان علمي دانشجويي مهندسي برق كشور, https://www.civilica.com/Paper-ISCEE14-ISCEE14_200.htmlInside the text, wherever referred to or an achievement of this article is mentioned, after mentioning the article, inside the parental, the following specifications are written.
First Time: (Gavili Gilan, Adnan & Hossein Shokri Ghadikolaee, 2011)
Second and more: (Gavili Gilan & Shokri Ghadikolaee, 2011)
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The University/Research Center Information:
Type: state university
Paper No.: 12776
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