A novel face detection method based on contourlet features
ICIC'09 Proceedings of the 5th international conference on Emerging intelligent computing technology and applications
Face recognition by curvelet based feature extraction
ICIAR'07 Proceedings of the 4th international conference on Image Analysis and Recognition
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In this paper, we propose a novel image denoising algorithm in Contourlet domain. The Contourlet transform is adopted by virtual of its advantages over the Wavelet transform in order to obtain a flexible multiresolution, local, and directional image expansion using contour segments, it is good at isolating the smoothness along the contours. We present a weighing factor which submits to the negative exponential distribution, it can combine the hard thresholding function with the soft thresholding, the new thresholding function is continuous[4]. We adapt different thresholdings on different scales and different directions to get better denoising results. Experimental results demonstrate that the proposed algorithm improves the SNR on a certain extent.