Abstract
This paper presents a new image denoising method based on contourlet transform and Lee filter. Classical contourlet transform methods are based on denoising procedure that processes the contourlet coefficients with a threshold in each subband. This is performed without considering the neighbourhood characteristics of the invariance of the contourlet transform which introduces some artifacts. In this work, however, Lee filter is used to solve this problem. The suggested algorithm is particularly useful when considering biometric images that need precise preprocessing.
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Godzwon, M., Saeed, K. (2012). Biometrics Image Denoising Algorithm Based on Contourlet Transform. In: Bolc, L., Tadeusiewicz, R., Chmielewski, L.J., Wojciechowski, K. (eds) Computer Vision and Graphics. ICCVG 2012. Lecture Notes in Computer Science, vol 7594. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33564-8_88
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DOI: https://doi.org/10.1007/978-3-642-33564-8_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33563-1
Online ISBN: 978-3-642-33564-8
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