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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Biometrics Image Denoising Algorithm Based on Contourlet Transform
verfasst von : Monika Godzwon, Khalid Saeed
Erschienen in: Computer Vision and Graphics
Verlag: Springer Berlin Heidelberg
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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.