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As speckle noise suppression is important for Synthetic aperture radar (SAR) images processing, this paper presents an approach for SAR image despeckling based on nonsubsampled directionlets. Firstly, images are partitioned into subbands using nonsubsampled directionlets. Then, the coefficients of subbands are modeled with Gaussian scale mixtures (GSM). Besides, for reducing the speckle noise, coefficients...
Current prominent camera identification methods use wavelet-based filter to extract photo-response non-uniformity (PRNU) noise as camera fingerprint. However, these noise features in heavily textured images can not be extracted by using wavelet-based filter effectively. In this paper, we propose a new camera identification method that uses curvelet-based filter to extract noise features in heavily...
In this paper, A new method is proposed for digital camera identification from its color images using image sensor noise. Currently the proposed camera identification methods use wavelet-based denoising filter to extract the sensor noise feature. However, the wavelet methods may smooth the edged while denoising and this will lead to low accuracy for those images including highly textured regions....
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