Image Denoising using Uniform Curvelet Transform and Complex Gaussian Scale Mixture
نویسنده
چکیده
In this project, a modified version of the curvelet transform is proposed for image denoising. We introduced the complex Gaussian scale mixture (CGSM) for modeling the distribution of complex curvelet coefficients. The statistical model is then used to obtain the denoised coefficients from the noisy image decomposition by Bayes least squares estimator. Performance of the denoised images using the modified curvelet is compared to the conventional transforms including the orthogonal wavelet, the contourlet and the steerable pyramid. We will show that the our method could achieve higher quality image denoising than the others with the Bayes least
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